Network Working Group E. Crawley Request for Comments: 2386 Argon Networks Category: Informational R. Nair Arrowpoint B. Rajagopalan NEC USA H. Sandick Bay Networks August 1998 A Framework for QoS-based Routing in the Internet Status of this Memo This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Copyright Notice Copyright (C) The Internet Society (1998). All Rights Reserved. ABSTRACT QoS-based routing has been recognized as a missing piece in the evolution of QoS-based service offerings in the Internet. This document describes some of the QoS-based routing issues and requirements, and proposes a framework for QoS-based routing in the Internet. This framework is based on extending the current Internet routing model of intra and interdomain routing to support QoS. 1. SCOPE OF DOCUMENT & PHILOSOPHY This document proposes a framework for QoS-based routing, with the objective of fostering the development of an Internet-wide solution while encouraging innovations in solving the many problems that arise. QoS-based routing has many complex facets and it is recommended that the following two-pronged approach be employed towards its development: 1. Encourage the growth and evolution of novel intradomain QoS-based routing architectures. This is to allow the development of independent, innovative solutions that address the many QoS-based routing issues. Such solutions may be deployed in autonomous systems (ASs), large and small, based on their specific needs.
2. Encourage simple, consistent and stable interactions between ASs implementing routing solutions developed as above. This approach follows the traditional separation between intra and interdomain routing. It allows solutions like QOSPF [GKOP98, ZSSC97], Integrated PNNI [IPNNI] or other schemes to be deployed for intradomain routing without any restriction, other than their ability to interact with a common, and perhaps simple, interdomain routing protocol. The need to develop a single, all encompassing solution to the complex problem of QoS-based routing is therefore obviated. As a practical matter, there are many different views on how QoS-based routing should be done. Much overall progress can be made if an opportunity exists for various ideas to be developed and deployed concurrently, while some consensus on the interdomain routing architecture is being developed. Finally, this routing model is perhaps the most practical from an evolution point of view. It is superfluous to say that the eventual success of a QoS-based Internet routing architecture would depend on the ease of evolution. The aim of this document is to describe the QoS-based routing issues, identify basic requirements on intra and interdomain routing, and describe an extension of the current interdomain routing model to support QoS. It is not an objective of this document to specify the details of intradomain QoS-based routing architectures. This is left up to the various intradomain routing efforts that might follow. Nor is it an objective to specify the details of the interface between reservation protocols such as RSVP and QoS-based routing. The specific interface functionality needed, however, would be clear from the intra and interdomain routing solutions devised. In the intradomain area, the goal is to develop the basic routing requirements while allowing maximum freedom for the development of solutions. In the interdomain area, the objectives are to identify the QoS-based routing functions, and facilitate the development or enhancement of a routing protocol that allows relatively simple interaction between domains. In the next section, a glossary of relevant terminology is given. In Section 3, the objectives of QoS-based routing are described and the issues that must be dealt with by QoS-based Internet routing efforts are outlined. In Section 4, some requirements on intradomain routing are defined. These requirements are purposely broad, putting few constraints on solution approaches. The interdomain routing model and issues are described in Section 5 and QoS-based multicast routing is discussed in Section 6. The interaction between QoS-based routing and resource reservation protocols is briefly considered in Section 7. Security considerations are listed in Section 8 and related work is described in Section 9. Finally, summary and conclusions are presented in Section 10.
2. GLOSSARY The following glossary lists the terminology used in this document and an explanation of what is meant. Some of these terms may have different connotations, but when used in this document, their meaning is as given. Alternate Path Routing : A routing technique where multiple paths, rather than just the shortest path, between a source and a destination are utilized to route traffic. One of the objectives of alternate path routing is to distribute load among multiple paths in the network. Autonomous System (AS): A routing domain which has a common administrative authority and consistent internal routing policy. An AS may employ multiple intradomain routing protocols internally and interfaces to other ASs via a common interdomain routing protocol. Source: A host or router that can be identified by a unique unicast IP address. Unicast destination: A host or router that can be identified by a unique unicast IP address. Multicast destination: A multicast IP address indicating all hosts and routers that are members of the corresponding group. IP flow (or simply "flow"): An IP packet stream from a source to a destination (unicast or multicast) with an associated Quality of Service (QoS) (see below) and higher level demultiplexing information. The associated QoS could be "best-effort". Quality-of-Service (QoS): A set of service requirements to be met by the network while transporting a flow. Service class: The definitions of the semantics and parameters of a specific type of QoS. Integrated services: The Integrated Services model for the Internet defined in RFC 1633 allows for integration of QoS services with the best effort services of the Internet. The Integrated Services (IntServ) working group in the IETF has defined two service classes, Controlled Load Service [W97] and Guaranteed Service [SPG97]. RSVP: The ReSerVation Protocol [BZBH97]. A QoS signaling protocol for the Internet. Path: A unicast or multicast path.
Unicast path: A sequence of links from an IP source to a unicast IP destination, determined by the routing scheme for forwarding packets. Multicast path (or Multicast Tree): A subtree of the network topology in which all the leaves and zero or more interior nodes are members of the same multicast group. A multicast path may be per-source, in which case the subtree is rooted at the source. Flow set-up: The act of establishing state in routers along a path to satisfy the QoS requirement of a flow. Crankback: A technique where a flow setup is recursively backtracked along the partial flow path up to the first node that can determine an alternative path to the destination. QoS-based routing: A routing mechanism under which paths for flows are determined based on some knowledge of resource availability in the network as well as the QoS requirement of flows. Route pinning: A mechanism to keep a flow path fixed for a duration of time. Flow Admission Control (FAC): A process by which it is determined whether a link or a node has sufficient resources to satisfy the QoS required for a flow. FAC is typically applied by each node in the path of a flow during flow set-up to check local resource availability. Higher-level admission control: A process by which it is determined whether or not a flow set-up should proceed, based on estimates and policy requirements of the overall resource usage by the flow. Higher-level admission control may result in the failure of a flow set-up even when FAC at each node along the flow path indicates resource availability. 3. QOS-BASED ROUTING: BACKGROUND AND ISSUES 3.1 Best-Effort and QoS-Based Routing Routing deployed in today's Internet is focused on connectivity and typically supports only one type of datagram service called "best effort" [WC96]. Current Internet routing protocols, e.g. OSPF, RIP, use "shortest path routing", i.e. routing that is optimized for a single arbitrary metric, administrative weight or hop count. These routing protocols are also "opportunistic," using the current shortest path or route to a destination. Alternate paths with acceptable but non-optimal cost can not be used to route traffic (shortest path routing protocols do allow a router to alternate among
several equal cost paths to a destination). QoS-based routing must extend the current routing paradigm in three basic ways. First, to support traffic using integrated-services class of services, multiple paths between node pairs will have to be calculated. Some of these new classes of service will require the distribution of additional routing metrics, e.g. delay, and available bandwidth. If any of these metrics change frequently, routing updates can become more frequent thereby consuming network bandwidth and router CPU cycles. Second, today's opportunistic routing will shift traffic from one path to another as soon as a "better" path is found. The traffic will be shifted even if the existing path can meet the service requirements of the existing traffic. If routing calculation is tied to frequently changing consumable resources (e.g. available bandwidth) this change will happen more often and can introduce routing oscillations as traffic shifts back and forth between alternate paths. Furthermore, frequently changing routes can increase the variation in the delay and jitter experienced by the end users. Third, as mentioned earlier, today's optimal path routing algorithms do not support alternate routing. If the best existing path cannot admit a new flow, the associated traffic cannot be forwarded even if an adequate alternate path exists. 3.2 QoS-Based Routing and Resource Reservation It is important to understand the difference between QoS-based routing and resource reservation. While resource reservation protocols such as RSVP [BZBH97] provide a method for requesting and reserving network resources, they do not provide a mechanism for determining a network path that has adequate resources to accommodate the requested QoS. Conversely, QoS-based routing allows the determination of a path that has a good chance of accommodating the requested QoS, but it does not include a mechanism to reserve the required resources. Consequently, QoS-based routing is usually used in conjunction with some form of resource reservation or resource allocation mechanism. Simple forms of QoS-based routing have been used in the past for Type of Service (TOS) routing [M98]. In the case of OSPF, a different shortest-path tree can be computed for each of the 8 TOS values in the IP header [ISI81]. Such mechanisms can be used to select specially provisioned paths but do not completely assure that resources are not overbooked along the path. As long as strict resource management and control are not needed, mechanisms such as TOS-based routing are useful for separating whole classes of traffic
over multiple routes. Such mechanisms might work well with the emerging Differential Services efforts [BBCD98]. Combining a resource reservation protocol with QoS-based routing allows fine control over the route and resources at the cost of additional state and setup time. For example, a protocol such as RSVP may be used to trigger QoS-based routing calculations to meet the needs of a specific flow. 3.3 QoS-Based Routing: Objectives Under QoS-based routing, paths for flows would be determined based on some knowledge of resource availability in the network, as well as the QoS requirement of flows. The main objectives of QoS-based routing are: 1. Dynamic determination of feasible paths: QoS-based routing can determine a path, from among possibly many choices, that has a good chance of accommodating the QoS of the given flow. Feasible path selection may be subject to policy constraints, such as path cost, provider selection, etc. 2. Optimization of resource usage: A network state-dependent QoS- based routing scheme can aid in the efficient utilization of network resources by improving the total network throughput. Such a routing scheme can be the basis for efficient network engineering. 3. Graceful performance degradation: State-dependent routing can compensate for transient inadequacies in network engineering (e.g., during focused overload conditions), giving better throughput and a more graceful performance degradation as compared to a state-insensitive routing scheme [A84]. QoS-based routing in the Internet, however, raises many issues: - How do routers determine the QoS capability of each outgoing link and reserve link resources? Note that some of these links may be virtual, over ATM networks and others may be broadcast multi- access links. - What is the granularity of routing decision (i.e., destination- based, source and destination-based, or flow-based)? - What routing metrics are used and how are QoS-accommodating paths computed for unicast flows?
- How are QoS-accommodating paths computed for multicast flows with different reservation styles and receiver heterogeneity? - What are the performance objectives while computing QoS-based paths? - What are the administrative control issues? - What factors affect the routing overheads?, and - How is scalability achieved? Some of these issues are discussed briefly next. Interdomain routing is discussed in Section 5. 3.4 QoS Determination and Resource Reservation To determine whether the QoS requirements of a flow can be accommodated on a link, a router must be able to determine the QoS available on the link. It is still an open issue as to how the QoS availability is determined for broadcast multiple access links (e.g., Ethernet). A related problem is the reservation of resources over such links. Solutions to these problems are just emerging [GPSS98]. Similar problems arise when a router is connected to a large non- broadcast multiple access network, such as ATM. In this case, if the destination of a flow is outside the ATM network, the router may have multiple egress choices. Furthermore, the QoS availability on the ATM paths to each egress point may be different. The issues then are, o how does a router determine all the egress choices across the ATM network? o how does it determine what QoS is available over the path to each egress point?, and o what QoS value does the router advertise for the ATM link. Typically, IP routing over ATM (e.g., NHRP) allows the selection of a single egress point in the ATM network, and the procedure does not incorporate any knowledge of the QoS required over the path. An approach like I-PNNI [IPNNI] would be helpful here, although it introduces some complexity. An additional problem with resource reservation is how to determine what resources have already been allocated to a multicast flow. The availability of this information during path computation improves the chances of finding a path to add a new receiver to a multicast flow. QOSPF [ZSSC97] handles this problem by letting routers broadcast reserved resource information to other routers in their area.
Alternate path routing [ZES97] deals with this issue by using probe messages to find a path with sufficient resources. Path QoS Computation (PQC) method, proposed in [GOA97], propagates bandwidth allocation information in RSVP PATH messages. A router receiving the PATH message gets an indication of the resource allocation only on those links in the path to itself from the source. Allocation for the same flow on other remote branches of the multicast tree is not available. Thus, the PQC method may not be sufficient to find feasible QoS-accommodating paths to all receivers. 3.5 Granularity of Routing Decision Routing in the Internet is currently based only on the destination address of a packet. Many multicast routing protocols require routing based on the source AND destination of a packet. The Integrated Services architecture and RSVP allow QoS determination for an individual flow between a source and a destination. This set of routing granularities presents a problem for QoS routing solutions. If routing based only on destination address is considered, then an intermediate router will route all flows between different sources and a given destination along the same path. This is acceptable if the path has adequate capacity but a problem arises if there are multiple flows to a destination that exceed the capacity of the link. One version of QOSPF [ZSSC97] determines QoS routes based on source and destination address. This implies that all traffic between a given source and destination, regardless of the flow, will travel down the same route. Again, the route must have capacity for all the QoS traffic for the source/destination pair. The amount of routing state also increases since the routing tables must include source/destination pairs instead of just the destination. The best granularity is found when routing is based on individual flows but this incurs a tremendous cost in terms of the routing state. Each QoS flow can be routed separately between any source and destination. PQC [GOA97] and alternate path routing [ZES97], are examples of solutions which operate at the flow level. Both source/destination and flow-based routing may be susceptible to packet looping under hop-by-hop forwarding. Suppose a node along a flow or source/destination-based path loses the state information for the flow. Also suppose that the flow-based route is different from the regular destination-based route. The potential then exists for a routing loop to form when the node forwards a packet belonging to the flow using its destination-based routing table to a node that occurs
earlier on the flow-based path. This is because the latter node may use its flow-based routing table to forward the packet again to the former and this can go on indefinitely. 3.6 Metrics and Path Computation 3.6.1 Metric Selection and Representation There are some considerations in defining suitable link and node metrics [WC96]. First, the metrics must represent the basic network properties of interest. Such metrics include residual bandwidth, delay and jitter. Since the flow QoS requirements have to be mapped onto path metrics, the metrics define the types of QoS guarantees the network can support. Alternatively, QoS-based routing cannot support QoS requirements that cannot be meaningfully mapped onto a reasonable combination of path metrics. Second, path computation based on a metric or a combination of metrics must not be too complex as to render them impractical. In this regard, it is worthwhile to note that path computation based on certain combinations of metrics (e.g., delay and jitter) is theoretically hard. Thus, the allowable combinations of metrics must be determined while taking into account the complexity of computing paths based on these metrics and the QoS needs of flows. A common strategy to allow flexible combinations of metrics while at the same time reduce the path computation complexity is to utilize "sequential filtering". Under this approach, a combination of metrics is ordered in some fashion, reflecting the importance of different metrics (e.g., cost followed by delay, etc.). Paths based on the primary metric are computed first (using a simple algorithm, e.g., shortest path) and a subset of them are eliminated based on the secondary metric and so forth until a single path is found. This is an approximation technique and it trades off global optimality for path computation simplicity (The filtering technique may be simpler, depending on the set of metrics used. For example, with bandwidth and cost as metrics, it is possible to first eliminate the set of links that do not have the requested bandwidth and then compute the least cost path using the remaining links.) Now, once suitable link and node metrics are defined, a uniform representation of them is required across independent domains - employing possibly different routing schemes - in order to derive path metrics consistently (path metrics are obtained by the composition of link and node metrics). Encoding of the maximum, minimum, range, and granularity of the metrics are needed. Also, the definitions of comparison and accumulation operators are required. In addition, suitable triggers must be defined for indicating a significant change from a minor change. The former will cause a routing update to be generated. The stability of the QoS routes would
depend on the ability to control the generation of updates. With interdomain routing, it is essential to obtain a fairly stable view of the interconnection among the ASs. 3.6.2 Metric Hierarchy A hierarchy can be defined among various classes of service based on the degree to which traffic from one class can potentially degrade service of traffic from lower classes that traverse the same link. In this hierarchy, guaranteed constant bit rate traffic is at the top and "best-effort" datagram traffic at the bottom. Classes providing service higher in the hierarchy impact classes providing service in lower levels. The same situation is not true in the other direction. For example, a datagram flow cannot affect a real-time service. Thus, it may be necessary to distribute and update different metrics for each type of service in the worst case. But, several advantages result by identifying a single default metric. For example, one could derive a single metric combining the availability of datagram and real-time service over a common substrate. 3.6.3 Datagram Flows A delay-sensitive metric is probably the most obvious type of metric suitable for datagram flows. However, it requires careful analysis to avoid instabilities and to reduce storage and bandwidth requirements. For example, a recursive filtering technique based on a simple and efficient weighted averaging algorithm [NC94] could be used. This filter is used to stabilize the metric. While it is adequate for smoothing most loading patterns, it will not distinguish between patterns consisting of regular bursts of traffic and random loading. Among other stabilizing tools, is a minimum time between updates that can help filter out high-frequency oscillations. 3.6.4 Real-time Flows In real-time quality-of-service, delay variation is generally more critical than delay as long as the delay is not too high. Clearly, voice-based applications cannot tolerate more than a certain level of delay. The condition of varying delays may be expected to a greater degree in a shared medium environment with datagrams, than in a network implemented over a switched substrate. Routing a real-time flow therefore reduces to an exercise in allocating the required network resources while minimizing fragmentation of bandwidth. The resulting situation is a bandwidth-limited minimum hop path from a source to the destination. In other words, the router performs an ordered search through paths of increasing hop count until it finds one that meets all the bandwidth needs of the flow. To reduce contention and the probability of false probes (due to inaccuracy in
route tables), the router could select a path randomly from a "window" of paths which meet the needs of the flow and satisfy one of three additional criteria: best-fit, first-fit or worst-fit. Note that there is a similarity between the allocation of bandwidth and the allocation of memory in a multiprocessing system. First-fit seems to be appropriate for a system with a high real-time flow arrival rates; and worst-fit is ideal for real-time flows with high holding times. This rather nonintuitive result was shown in [NC94]. 3.6.5 Path Properties Path computation by itself is merely a search technique, e.g., Shortest Path First (SPF) is a search technique based on dynamic programming. The usefulness of the paths computed depends to a large extent on the metrics used in evaluating the cost of a path with respect to a flow. Each link considered by the path computation engine must be evaluated against the requirements of the flow, i.e., the cost of providing the services required by the flow must be estimated with respect to the capabilities of the link. This requires a uniform method of combining features such as delay, bandwidth, priority and other service features. Furthermore, the costs must reflect the lost opportunity of using each link after routing the flow. 3.6.6 Performance Objectives One common objective during path computation is to improve the total network throughput. In this regard, merely routing a flow on any path that accommodates its QoS requirement is not a good strategy. In fact, this corresponds to uncontrolled alternate routing [SD95] and may adversely impact performance at higher traffic loads. It is therefore necessary to consider the total resource allocation for a flow along a path, in relation to available resources, to determine whether or not the flow should be routed on the path. Such a mechanism is referred to in this document as "higher level admission control". The goal of this is to ensure that the "cost" incurred by the network in routing a flow with a given QoS is never more than the revenue gained. The routing cost in this regard may be the lost revenue in potentially blocking other flows that contend for the same resources. The formulation of the higher level admission control strategy, with suitable administrative hooks and with fairness to all flows desiring entry to the network, is an issue. The fairness problem arises because flows with smaller reservations tend to be more successfully routed than flows with large reservations, for a given engineered capacity. To guarantee a certain level of
acceptance rate for "larger" flows, without over-engineering the network, requires a fair higher level admission control mechanism. The application of higher level admission control to multicast routing is discussed later. 3.7 Administrative Control There are several administrative control issues. First, within an AS employing state-dependent routing, administrative control of routing behavior may be necessary. One example discussed earlier was higher level admission control. Some others are described in this section. Second, the control of interdomain routing based on policy is an issue. The discussion of interdomain routing is defered to Section 5. Two areas that need administrative control, in addition to appropriate routing mechanisms, are handling flow priority with preemption, and resource allocation for multiple service classes. 3.7.1 Flow Priorities and Preemption If there are critical flows that must be accorded higher priority than other types of flows, a mechanism must be implemented in the network to recognize flow priorities. There are two aspects to prioritizing flows. First, there must be a policy to decide how different users are allowed to set priorities for flows they originate. The network must be able to verify that a given flow is allowed to claim a priority level signaled for it. Second, the routing scheme must ensure that a path with the requested QoS will be found for a flow with a probability that increases with the priority of the flow. In other words, for a given network load, a high priority flow should be more likely to get a certain QoS from the network than a lower priority flow requesting the same QoS. Routing procedures for flow prioritization can be complex. Identification and evaluation of different procedures are areas that require investigation. 3.7.2 Resource Control If there are multiple service classes, it is necessary to engineer a network to carry the forecasted traffic demands of each class. To do this, router and link resources may be logically partitioned among various service classes. It is desirable to have dynamic partitioning whereby unused resources in various partitions are dynamically shifted to other partitions on demand [ACFH92]. Dynamic sharing, however, must be done in a controlled fashion in order to prevent traffic under some service class from taking up more resources than
what was engineered for it for prolonged periods of time. The design of such a resource sharing scheme, and its incorporation into the QoS-based routing scheme are significant issues. 3.8 QoS-Based Routing for Multicast Flows QoS-based multicast routing is an important problem, especially if the notion of higher level admission control is included. The dynamism in the receiver set allowed by IP multicast, and receiver heterogeneity add to the problem. With straightforward implementation of distributed heuristic algorithms for multicast path computation [W88, C91], the difficulty is essentially one of scalability. To accommodate QoS, multicast path computation at a router must have knowledge of not only the id of subnets where group members are present, but also the identity of branches in the existing tree. In other words, routers must keep flow-specific state information. Also, computing optimal shared trees based on the shared reservation style [BZBH97], may require new algorithms. Multicast routing is discussed in some detail in Section 6. 3.9 Routing Overheads The overheads incurred by a routing scheme depend on the type of the routing scheme, as well as the implementation. There are three types of overheads to be considered: computation, storage and communication. It is necessary to understand the implications of choosing a routing mechanism in terms of these overheads. For example, considering link state routing, the choice of the update propagation mechanism is important since network state is dynamic and changes relatively frequently. Specifically, a flooding mechanism would result in many unnecessary message transmissions and processing. Alternative techniques, such as tree-based forwarding [R96], have to be considered. A related issue is the quantization of state information to prevent frequent updating of dynamic state. While coarse quantization reduces updating overheads, it may affect the performance of the routing scheme. The tradeoff has to be carefully evaluated. QoS-based routing incurs certain overheads during flow establishment, for example, computing a source route. Whether this overhead is disproportionate compared to the length of the sessions is an issue. In general, techniques for the minimization of routing-related overheads during flow establishment must be investigated. Approaches that are useful include pre-computation of routes, caching recently used routes, and TOS routing based on hints in packets (e.g., the TOS field).
3.10 Scaling by Hierarchical Aggregation QoS-based routing should be scalable, and hierarchical aggregation is a common technique for scaling (e.g., [PNNI96]). But this introduces problems with regard to the accuracy of the aggregated state information [L95]. Also, the aggregation of paths under multiple constraints is difficult. One of the difficulties is the risk of accepting a flow based on inaccurate information, but not being able to support the QoS requirements of flow because the capabilities of the actual paths that are aggregated are not known during route computation. Performance impacts of aggregating path metric information must therefore be understood. A way to compensate for inaccuracies is to use crankback, i.e., dynamic search for alternate paths as a flow is being routed. But crankback increases the time to set up a flow, and may adversely affect the performance of the routing scheme under some circumstances. Thus, crankback must be used judiciously, if at all, along with a higher level admission control mechanism. 4. INTRADOMAIN ROUTING REQUIREMENTS At the intradomain level, the objective is to allow as much latitude as possible in addressing the QoS-based routing issues. Indeed, there are many ideas about how QoS-based routing services can be provisioned within ASs. These range from on-demand path computation based on current state information, to statically provisioned paths supporting a few service classes. Another aspect that might invite differing solutions is performance optimization. Based on the technique used for this, intradomain routing could be very sophisticated or rather simple. Finally, the service classes supported, as well as the specific QoS engineered for a service class, could differ from AS to AS. For instance, some ASs may not support guaranteed service, while others may. Also, some ASs supporting the service may be engineered for a better delay bound than others. Thus, it requires considerable thought to determine the high level requirements for intradomain routing that both supports the overall view of QoS-based routing in the Internet and allows maximum autonomy in developing solutions. Our view is that certain minimum requirements must be satisfied by intradomain routing in order to be qualified as "QoS-based" routing. These are: - The routing scheme must route a flow along a path that can accommodate its QoS requirements, or indicate that the flow cannot be admitted with the QoS currently being requested.
- The routing scheme must indicate disruptions to the current route of a flow due to topological changes. - The routing scheme must accommodate best-effort flows without any resource reservation requirements. That is, present best effort applications and protocol stacks need not have to change to run in a domain employing QoS-based routing. - The routing scheme may optionally support QoS-based multicasting with receiver heterogeneity and shared reservation styles. In addition, the following capabilities are also recommended: - Capabilities to optimize resource usage. - Implementation of higher level admission control procedures to limit the overall resource utilization by individual flows. Further requirements along these lines may be specified. The requirements should capture the consensus view of QoS-based routing, but should not preclude particular approaches (e.g., TOS-based routing) from being implemented. Thus, the intradomain requirements are expected to be rather broad. 5. INTERDOMAIN ROUTING The fundamental requirement on interdomain QoS-based routing is scalability. This implies that interdomain routing cannot be based on highly dynamic network state information. Rather, such routing must be aided by sound network engineering and relatively sparse information exchange between independent routing domains. This approach has the advantage that it can be realized by straightforward extensions of the present Internet interdomain routing model. A number of issues, however, need to be addressed to achieve this, as discussed below.
5.1 Interdomain QoS-Based Routing Model The interdomain QoS-based routing model is depicted below: AS1 AS2 AS3 ___________ _____________ ____________ | | | | | | | B------B B----B | | | | | | | -----B----- B------------- --B--------- \ / / \ / / ____B_____B____ _________B______ | | | | | B-------B | | | | | | B-------B | --------------- ---------------- AS4 AS5 Here, ASs exchange standardized routing information via border nodes B. Under this model, each AS can itself consist of a set of interconnected ASs, with standardized routing interaction. Thus, the interdomain routing model is hierarchical. Also, each lowest level AS employs an intradomain QoS-based routing scheme (proprietary or standardized by intradomain routing efforts such as QOSPF). Given this structure, some questions that arise are: - What information is exchanged between ASs? - What routing capabilities does the information exchange lead to? (E.g., source routing, on-demand path computation, etc.) - How is the external routing information represented within an AS? - How are interdomain paths computed? - What sort of policy controls may be exerted on interdomain path computation and flow routing?, and - How is interdomain QoS-based multicast routing accomplished? At a high level, the answers to these questions depend on the routing paradigm. Specifically, considering link state routing, the information exchanged between domains would consist of an abstract representation of the domains in the form of logical nodes and links, along with metrics that quantify their properties and resource availability. The hierarchical structure of the ASs may be handled
by a hierarchical link state representation, with appropriate metric aggregation. Link state routing may not necessarily be advantageous for interdomain routing for the following reasons: - One advantage of intradomain link state routing is that it would allow fairly detailed link state information be used to compute paths on demand for flows requiring QoS. The state and metric aggregation used in interdomain routing, on the other hand, erodes this property to a great degree. - The usefulness of keeping track of the abstract topology and metrics of a remote domain, or the interconnection between remote domains is not obvious. This is especially the case when the remote topology and metric encoding are lossy. - ASs may not want to advertise any details of their internal topology or resource availability. - Scalability in interdomain routing can be achieved only if information exchange between domains is relatively infrequent. Thus, it seems practical to limit information flow between domains as much as possible. Compact information flow allows the implementation QoS-enhanced versions of existing interdomain protocols such as BGP-4. We look at the interdomain routing issues in this context. 5.2 Interdomain Information Flow The information flow between routing domains must enable certain basic functions: 1. Determination of reachability to various destinations 2. Loop-free flow routes 3. Address aggregation whenever possible 4. Determination of the QoS that will be supported on the path to a destination. The QoS information should be relatively static, determined from the engineered topology and capacity of an AS rather than ephemeral fluctuations in traffic load through the AS. Ideally, the QoS supported in a transit AS should be allowed to vary significantly only under exceptional circumstances, such as failures or focused overload.
5. Determination, optionally, of multiple paths for a given destination, based on service classes. 6. Expression of routing policies, including monetary cost, as a function of flow parameters, usage and administrative factors. Items 1-3 are already part of existing interdomain routing. Item 5 is also a straightfoward extension of the current model. The main problem areas are therefore items 4 and 6. The QoS of an end-to-end path is obtained by composing the QoS available in each transit AS. Thus, border routers must first determine what the locally available QoS is in order to advertise routes to both internal and external destinations. The determination of local "AS metrics" (corresponding to link metrics in the intradomain case) should not be subject to too much dynamism. Thus, the issue is how to define such metrics and what triggers an occasional change that results in re-advertisements of routes. The approach suggested in this document is not to compute paths based on residual or instantaneous values of AS metics (which can be dynamic), but utilize only the QoS capabilities engineered for aggregate transit flows. Such engineering may be based on the knowledge of traffic to be expected from each neighboring ASs and the corresponding QOS needs. This information may be obtained based on contracts agreed upon prior to the provisioning of services. The AS metric then corresponds to the QoS capabilities of the "virtual path" engineered through the AS (for transit traffic) and a different metric may be used for different neighbors. This is illustrated in the following figure. AS1 AS2 AS3 ___________ _____________ ____________ | | | | | | | B------B1 B2----B | | | | | | | -----B----- B3------------ --B--------- \ / \ / ____B_____B____ | | | | | | | | --------------- AS4
Here, B1 may utilize an AS metric specific for AS1 when computing path metrics to be advertised to AS1. This metric is based on the resources engineered in AS2 for transit traffic from AS1. Similarly, B3 may utilize a different metric when computing path metrics to be advertised to AS4. Now, it is assumed that as long as traffic flow into AS2 from AS1 or AS4 does not exceed the engineered values, these path metrics would hold. Excess traffic due to transient fluctuations, however, may be handled as best effort or marked with a discard bit. Thus, this model is different from the intradomain model, where end nodes pick a path dynamically based on the QoS needs of the flow to be routed. Here, paths within ASs are engineered based on presumed, measured or declared traffic and QoS requirements. Under this model, an AS can contract for routes via multiple transit ASs with different QoS requirements. For instance, AS4 above can use both AS1 and AS2 as transits for same or different destinations. Also, a QoS contract between one AS and another may generate another contract between the second and a third AS and so forth. An issue is what triggers the recomputation of path metrics within an AS. Failures or other events that prevent engineered resource allocation should certainly trigger recomputation. Recomputation should not be triggered in response to arrival of flows within the engineered limit. 5.3 Path Computation Path computation for an external destination at a border node is based on reachability, path metrics and local policies of selection. If there are multiple selection criteria (e.g., delay, bandwidth, cost, etc.), mutiple alternaives may have to be maintained as well as propagated by border nodes. Selection of a path from among many alternatives would depend on the QoS requests of flows, as well as policies. Path computation may also utilze any heuristics for optimizing resource usage. 5.4 Flow Aggregation An important issue in interdomain routing is the amount of flow state to be processed by transit ASs. Reducing the flow state by aggregation techniques must therefore be seriously considered. Flow aggregation means that transit traffic through an AS is classified into a few aggregated streams rather than being routed at the individual flow level. For example, an entry border router may classify various transit flows entering an AS into a few coarse categories, based on the egress node and QoS requirements of the flows. Then, the aggregated stream for a given traffic class may be
routed as a single flow inside the AS to the exit border router. This router may then present individual flows to different neighboring ASs and the process repeats at each entry border router. Under this scenario, it is essential that entry border routers keep track of the resource requirements for each transit flow and apply admission control to determine whether the aggregate requirement from any neighbor exceeds the engineered limit. If so, some policy must be invoked to deal with the excess traffic. Otherwise, it may be assumed that aggregated flows are routed over paths that have adequate resources to guarantee QoS for the member flows. Finally, it is possible that entry border routers at a transit AS may prefer not to aggregate flows if finer grain routing within the AS may be more efficient (e.g., to aid load balancing within the AS). 5.5 Path Cost Determination It is hoped that the integrated services Internet architecture would allow providers to charge for IP flows based on their QoS requirements. A QoS-based routing architecture can aid in distributing information on expected costs of routing flows to various destinations via different domains. Clearly, from a provider's point of view, there is a cost incurred in guaranteeing QoS to flows. This cost could be a function of several parameters, some related to flow parameters, others based on policy. From a user's point of view, the consequence of requesting a particular QoS for a flow is the cost incurred, and hence the selection of providers may be based on cost. A routing scheme can aid a provider in distributing the costs in routing to various destinations, as a function of several parameters, to other providers or to end users. In the interdomain routing model described earlier, the costs to a destination will change as routing updates are passed through a transit domain. One of the goals of the routing scheme should be to maintain a uniform semantics for cost values (or functions) as they are handled by intermediate domains. As an example, consider the cost function generated by border node B1 in domain A and passed to node B2 in domain B below. The routing update may be injected into domain B by B2 and finally passed to B4 in domain C by router B3. Domain B may interpret the cost value received from domain A in any way it wants, for instance, adding a locally significant component to it. But when this cost value is passed to domain C, the meaning of it must be what domain A intended, plus the incremental cost of transiting domain B, but not what domain B uses internally.
Domain A Domain B Domain C ____________ ___________ ____________ | | | | | | | B1------B2 B3---B4 | | | | | | | ------------ ----------- ------------ A problem with charging for a flow is the determination of the cost when the QoS promised for the flow was not actually delivered. Clearly, when a flow is routed via multiple domains, it must be determined whether each domain delivers the QoS it declares possible for traffic through it. 6. QOS-BASED MULTICAST ROUTING The goals of QoS-based multicast routing are as follows: - Scalability to large groups with dynamic membership - Robustness in the presence of topological changes - Support for receiver-initiated, heterogeneous reservations - Support for shared reservation styles, and - Support for "global" admission control, i.e., administrative control of resource consumption by the multicast flow. The RSVP multicast flow model is as follows. The sender of a multicast flow advertises the traffic characteristics periodically to the receivers. On receipt of an advertisement, a receiver may generate a message to reserve resources along the flow path from the sender. Receiver reservations may be heterogeneous. Other multicast models may be considered. The multicast routing scheme attempts to determine a path from the sender to each receiver that can accommodate the requested reservation. The routing scheme may attempt to maximize network resource utilization by minimizing the total bandwidth allocated to the multicast flow, or by optimizing some other measure. 6.1 Scalability, Robustness and Heterogeneity When addressing scalability, two aspects must be considered: 1. The overheads associated with receiver discovery. This overhead is incurred when determining the multicast tree for forwarding best-effort sender traffic characterization to receivers.
2. The overheads associated with QoS-based multicast path computation. This overhead is incurred when flow-specific state information has to be collected by a router to determine QoS-accommodating paths to a receiver. Depending on the multicast routing scheme, one or both of these aspects become important. For instance, under the present RSVP model, reservations are established on the same path over which sender traffic characterizations are sent, and hence there is no path computation overhead. On the other hand, under the proposed QOSPF model [ZSSC97] of multicast source routing, receiver discovery overheads are incurred by MOSPF [M94] receiver location broadcasts, and additional path computation overheads are incurred due to the need to keep track of existing flow paths. Scaling of QoS-based multicast depends on both these scaling issues. However, scalable best-effort multicasting is really not in the domain of QoS-based routing work (solutions for this are being devised by the IDMR WG [BCF94, DEFV94]). QoS-based multicast routing may build on these solutions to achieve overall scalability. There are several options for QoS-based multicast routing. Multicast source routing is one under which multicast trees are computed by the first-hop router from the source, based on sender traffic advertisements. The advantage of this is that it blends nicely with the present RSVP signaling model. Also, this scheme works well when receiver reservations are homogeneous and the same as the maximum reservation derived from sender advertisement. The disadvantages of this scheme are the extra effort needed to accommodate heterogeneous reservations and the difficulties in optimizing resource allocation based on shared reservations. In these regards, a receiver-oriented multicast routing model seems to have some advantage over multicast source routing. Under this model: 1. Sender traffic advertisements are multicast over a best-effort tree which can be different from the QoS-accommodating tree for sender data. 2. Receiver discovery overheads are minimized by utilizing a scalable scheme (e.g., PIM, CBT), to multicast sender traffic characterization. 3. Each receiver-side router independently computes a QoS- accommodating path from the source, based on the receiver reservation. This path can be computed based on unicast routing information only, or with additional multicast flow-specific state information. In any case, multicast path computation is
broken up into multiple, concurrent nunicast path computations. 4. Routers processing unicast reserve messages from receivers aggregate resource reservations from multiple receivers. Flow-specific state information may be limited in Step 3 to achieve scalability [RN98]. In general, limiting flow-specific information in making multicast routing decisions is important in any routing model. The advantages of this model are the ease with which heterogeneous reservations can be accommodated, and the ability to handle shared reservations. The disadvantages are the incompatibility with the present RSVP signaling model, and the need to rely on reverse paths when link state routing is not used. Both multicast source routing and the receiver-oriented routing model described above utilize per- source trees to route multicast flows. Another possibility is the utilization of shared, per-group trees for routing flows. The computation and usage of such trees require further work. Finally, scalability at the interdomain level may be achieved if QoS-based multicast paths are computed independently in each domain. This principle is illustrated by the QOSPF multicast source routing scheme which allows independent path computation in different OSPF areas. It is easy to incorporate this idea in the receiver-oriented model also. An evaluation of multicast routing strategies must take into account the relative advantages and disadvantages of various approaches, in terms of scalability features and functionality supported. 6.2 Multicast Admission Control Higher level admission control, as defined for unicast, prevents excessive resource consumption by flows when traffic load is high. Such an admission control strategy must be applied to multicast flows when the flow path computation is receiver-oriented or sender- oriented. In essence, a router computing a path for a receiver must determine whether the incremental resource allocation for the receiver is excessive under some administratively determined admission control policy. Other admission control criteria, based on the total resource consumption of a tree may be defined. 7. QOS-BASED ROUTING AND RESOURCE RESERVATION PROTOCOLS There must clearly be a well-defined interface between routing and resource reservation protocols. The nature of this interface, and the interaction between routing and resource reservation has to be determined carefully to avoid incompatibilities. The importance of this can be readily illustrated in the case of RSVP.
RSVP has been designed to operate independent of the underlying routing scheme. Under this model, RSVP PATH messages establish the reverse path for RESV messages. In essence, this model is not compatible with QoS-based routing schemes that compute paths after receiver reservations are received. While this incompatibility can be resolved in a simple manner for unicast flows, multicast with heterogeneous receiver requirements is a more difficult case. For this, reconciliation between RSVP and QoS-based routing models is necessary. Such a reconciliation, however, may require some changes to the RSVP model depending on the QoS-based routing model [ZES97, ZSSC97, GOA97]. On the other hand, QoS-based routing schemes may be designed with RSVP compatibility as a necessary goal. How this affects scalability and other performance measures must be considered. 8. SECURITY CONSIDERATIONS Security issues that arise with routing in general are about maintaining the integrity of the routing protocol in the presence of unintentional or malicious introduction of information that may lead to protocol failure [P88]. QoS-based routing requires additional security measures both to validate QoS requests for flows and to prevent resource-depletion type of threats that can arise when flows are allowed to make arbitratry resource requests along various paths in the network. Excessive resource consumption by an errant flow results in denial of resources to legitimate flows. While these situations may be prevented by setting up proper policy constraints, charging models and policing at various points in the network, the formalization of such protection requires work [BCCH94]. 9. RELATED WORK "Adaptive" routing, based on network state, has a long history, especially in circuit-switched networks. Such routing has also been implemented in early datagram and virtual circuit packet networks. More recently, this type of routing has been the subject of study in the context of ATM networks, where the traffic characteristics and topology are substantially different from those of circuit-switched networks [MMR96]. It is instructive to review the adaptive routing methodologies, both to understand the problems encountered and possible solutions. Fundamentally, there are two aspects to adaptive, network state- dependent routing: 1. Measuring and gathering network state information, and 2. Computing routes based on the available information.
Depending on how these two steps are implemented, a variety of routing techniques are possible. These differ in the following respects: - what state information is used - whether local or global state is used - what triggers the propagation of state information - whether routes are computed in a distributed or centralized manner - whether routes are computed on-demand, pre-computed, or in a hybrid manner - what optimization criteria, if any, are used in computing routes - whether source routing or hop by hop routing is used, and - how alternate route choices are explored It should be noted that most of the adaptive routing work has focused on unicast routing. Multicast routing is one of the areas that would be prominent with Internet QoS-based routing. We treat this separately, and the following review considers only unicast routing. This review is not exhaustive, but gives a brief overview of some of the approaches. 9.1 Optimization Criteria The most common optimization criteria used in adaptive routing is throughput maximization or delay minimization. A general formulation of the optimization problem is the one in which the network revenue is maximized, given that there is a cost associated with routing a flow over a given path [MMR96, K88]. In general, global optimization solutions are difficult to implement, and they rely on a number of assumptions on the characteristics of the traffic being routed [MMR96]. Thus, the practical approach has been to treat the routing of each flow (VC, circuit or packet stream to a given destination) independently of the routing of other flows. Many such routing schemes have been implemented. 9.2 Circuit Switched Networks Many adaptive routing concepts have been proposed for circuit- switched networks. An example of a simple adaptive routing scheme is sequential alternate routing [T88]. This is a hop-by-hop destination-based routing scheme where only local state information is utilized. Under this scheme, a routing table is computed for each node, which lists multiple output link choices for each destination. When a call set-up request is received by a node, it tries each output link choice in sequence, until it finds one that can accommodate the call. Resources are reserved on this link, and the call set-up is forwarded to the next node. The set-up either reaches the destination, or is blocked at some node. In the latter case, the
set-up can be cranked back to the previous node or a failure declared. Crankback allows the previous node to try an alternate path. The routing table under this scheme can be computed in a centralized or distributed manner, based only on the topology of the network. For instance, a k-shortest-path algorithm can be used to determine k alternate paths from a node with distinct initial links [T88]. Some mechanism must be implemented during path computation or call set-up to prevent looping. Performance studies of this scheme illustrate some of the pitfalls of alternate routing in general, and crankback in particular [A84, M86, YS87]. Specifically, alternate routing improves the throughput when traffic load is relatively light, but adversely affects the performance when traffic load is heavy. Crankback could further degrade the performance under these conditions. In general, uncontrolled alternate routing (with or without crankback) can be harmful in a heavily utilized network, since circuits tend to be routed along longer paths thereby utilizing more capacity. This is an obvious, but important result that applies to QoS-based Internet routing also. The problem with alternate routing is that both direct routed (i.e., over shortest paths) and alternate routed calls compete for the same resource. At higher loads, allocating these resources to alternate routed calls result in the displacement of direct routed calls and hence the alternate routing of these calls. Therefore, many approaches have been proposed to limit the flow of alternate routed calls under high traffic loads. These schemes are designed for the fully-connected logical topology of long distance telephone networks (i.e., there is a logical link between every pair of nodes). In this topology, direct routed calls always traverse a 1-hop path to the destination and alternate routed calls traverse at most a 2-hop path. "Trunk reservation" is a scheme whereby on each link a certain bandwidth is reserved for direct routed calls [MS91]. Alternate routed calls are allowed on a trunk as long as the remaining trunk bandwidth is greater than the reserved capacity. Thus, alternate routed calls cannot totally displace direct routed calls on a trunk. This strategy has been shown to be very effective in preventing the adverse effects of alternate routing. "Dynamic alternate routing" (DAR) is a strategy whereby alternate routing is controlled by limiting the number of choices, in addition to trunk reservation [MS91]. Under DAR, the source first attempts to use the direct link to the destination. When blocked, the source attempts to alternate route the call via a pre-selected neighbor. If the call is still blocked, a different neighbor is selected for alternate routing to this destination in the future. The present call
is dropped. DAR thus requires only local state information. Also, it "learns" of good alternate paths by random sampling and sticks to them as long as possible. More recent circuit-switched routing schemes utilize global state to select routes for calls. An example is AT&T's Real-Time Network Routing (RTNR) scheme [ACFH92]. Unlike schemes like DAR, RTNR handles multiple classes of service, including voice and data at fixed rates. RTNR utilizes a sophisticated per-class trunk reservation mechanism with dynamic bandwidth sharing between classes. Also, when alternate routing a call, RTNR utilizes the loading on all trunks in the network to select a path. Because of the fully-connected topology, disseminating status information is simple under RTNR; each node simply exchanges status information directly with all others. From the point of view of designing QoS-based Internet routing schemes, there is much to be learned from circuit-switched routing. For example, alternate routing and its control, and dynamic resource sharing among different classes of traffic. It is, however, not simple to apply some of the results to a general topology network with heterogeneous multirate traffic. Work in the area of ATM network routing described next illustrates this. 9.3 ATM Networks The VC routing problem in ATM networks presents issues similar to that encountered in circuit-switched networks. Not surprisingly, some extensions of circuit-switched routing have been proposed. The goal of these routing schemes is to achieve higher throughput as compared to traditional shortest-path routing. The flows considered usually have a single QoS requirement, i.e., bandwidth. The first idea is to extend alternate routing with trunk reservation to general topologies [SD95]. Under this scheme, a distance vector routing protocol is used to build routing tables at each node with multiple choices of increasing hop count to each destination. A VC set-up is first routed along the primary ("direct") path. If sufficient resources are not available along this path, alternate paths are tried in the order of increasing hop count. A flag in the VC set-up message indicates primary or alternate routing, and bandwidth on links along an alternate path is allocated subject to trunk reservation. The trunk reservation values are determined based on some assumptions on traffic characteristics. Because the scheme works only for a single data rate, the practical utility of it is limited. The next idea is to import the notion of controlled alternate routing into traditional link state QoS-based routing [GKR96]. To do this,
first each VC is associated with a maximum permissible routing cost. This cost can be set based on expected revenues in carrying the VC or simply based on the length of the shortest path to the destination. Each link is associated with a metric that increases exponentially with its utilization. A switch computing a path for a VC simply determines a least-cost feasible path based on the link metric and the VC's QoS requirement. The VC is admitted if the cost of the path is less than or equal to the maximum permissible routing cost. This routing scheme thus limits the extent of "detour" a VC experiences, thus preventing excessive resource consumption. This is a practical scheme and the basic idea can be extended to hierarchical routing. But the performance of this scheme has not been analyzed thoroughly. A similar notion of admission control based on the connection route was also incorporated in a routing scheme presented in [ACG92]. Considering the ATM Forum PNNI protocol [PNNI96], a partial list of its stated characteristics are as follows: o Scales to very large networks o Supports hierarchical routing o Supports QoS o Uses source routed connection setup o Supports multiple metrics and attributes o Provides dynamic routing The PNNI specification is sub-divided into two protocols: a signaling and a routing protocol. The PNNI signaling protocol is used to establish point-to-point and point to multipoint connections and supports source routing, crankback and alternate routing. PNNI source routing allows loop free paths. Also, it allows each implementation to use its own path computation algorithm. Furthermore, source routing is expected to support incremental deployment of future enhancements such as policy routing. The PNNI routing protocol is a dynamic, hierarchical link state protocol that propagates topology information by flooding it through the network. The topology information is the set of resources (e.g., nodes, links and addresses) which define the network. Resources are qualified by defined sets of metrics and attributes (delay, available bandwidth, jitter, etc.) which are grouped by supported traffic class. Since some of the metrics used will change frequently, e.g., available bandwidth, threshold algorithms are used to determine if the change in a metric or attribute is significant enough to require propagation of updated information. Other features include, auto configuration of the routing hierarchy, connection admission control (as part of path calculation) and aggregation and summarization of topology and reachability information.
Despite its functionality, the PNNI routing protocol does not address the issues of multicast routing, policy routing and control of alternate routing. A problem in general with link state QoS-based routing is that of efficient broadcasting of state information. While flooding is a reasonable choice with static link metrics it may impact the performance adversely with dynamic metrics. Finally, Integrated PNNI [I-PNNI] has been designed from the start to take advantage of the QoS Routing capabilities that are available in PNNI and integrate them with routing for layer 3. This would provide an integrated layer 2 and layer 3 routing protocol for networks that include PNNI in the ATM core. The I-PNNI specification has been under development in the ATM Forum and, at this time, has not yet incorporated QoS routing mechanisms for layer 3. 9.4 Packet Networks Early attempts at adaptive routing in packet networks had the objective of delay minimization by dynamically adapting to network congestion. Alternate routing based on k-shortest path tables, with route selection based on some local measure (e.g., shortest output queue) has been described [R76, YS81]. The original ARPAnet routing scheme was a distance vector protocol with delay-based cost metric [MW77]. Such a scheme was shown to be prone to route oscillations [B82]. For this and other reasons, a link state delay-based routing scheme was later developed for the ARPAnet [MRR80]. This scheme demonstrated a number of techniques such as triggered updates, flooding, etc., which are being used in OSPF and PNNI routing today. Although none of these schemes can be called QoS-based routing schemes, they had features that are relevant to QoS-based routing. IBM's System Network Architecture (SNA) introduced the concept of Class of Service (COS)-based routing [A79, GM79]. There were several classes of service: interactive, batch, and network control. In addition, users could define other classes. When starting a data session an application or device would request a COS. Routing would then map the COS into a statically configured route which marked a path across the physical network. Since SNA is connection oriented, a session was set up along this path and the application's or device's data would traverse this path for the life of the session. Initially, the service delivered to a session was based on the network engineering and current state of network congestion. Later, transmission priority was added to subarea SNA. Transmission priority allowed more important traffic (e.g. interactive) to proceed before less time-critical traffic (e.g. batch) and improved link and network utilization. Transmission priority of a session was based on its COS.
SNA later evolved to support multiple or alternate paths between nodes. But, although assisted by network design tools, the network administrator still had to statically configure routes. IBM later introduced SNA's Advanced Peer to Peer Networking (APPN) [B85]. APPN added new features to SNA including dynamic routing based on a link state database. An application would use COS to indicate it traffic requirements and APPN would calculate a path capable of meeting these requirements. Each COS was mapped to a table of acceptable metrics and parameters that qualified the nodes and links contained in the APPN topology Database. Metrics and parameters used as part of the APPN route calculation include, but are not limited to: delay, cost per minute, node congestion and security. The dynamic nature of APPN allowed it to route around failures and reduce network configuration. The service delivered by APPN was still based on the network engineering, transmission priority and network congestion. IBM later introduced an extension to APPN, High Performance Routing (HPR)[IBM97]. HPR uses a congestion avoidance algorithm called adaptive rate based (ARB) congestion control. Using predictive feedback methods, the ARB algorithm prevents congestion and improves network utilization. Most recently, an extension to the COS table has been defined so that HPR routing could recognize and take advantage of ATM QoS capabilities. Considering IP routing, both IDRP [R92] and OSPF support type of service (TOS)-based routing. While the IP header has a TOS field, there is no standardized way of utilizing it for TOS specification and routing. It seems possible to make use of the IP TOS feature, along with TOS-based routing and proper network engineering, to do QoS-based routing. The emerging differentiated services model is generating renewed interest in TOS support. Among the newer schemes, Source Demand Routing (SDR) [ELRV96] allows on-demand path computation by routers and the implementation of strict and loose source routing. The Nimrod architecture [CCM96] has a number of concepts built in to handle scalability and specialized path computation. Recently, some work has been done on QoS-based routing schemes for the integrated services Internet. For example, in [M98], heuristic schemes for efficient routing of flows with bandwidth and/or delay constraints is described and evaluated. 9. SUMMARY AND CONCLUSIONS In this document, a framework for QoS-based Internet routing was defined. This framework adopts the traditional separation between intra and interdomain routing. This approach is especially meaningful in the case of QoS-based routing, since there are many views on how QoS-based routing should be accomplished and many different needs. The objective of this document was to encourage the development of
different solution approaches for intradomain routing, subject to some broad requirements, while consensus on interdomain routing is achieved. To this end, the QoS-based routing issues were described, and some broad intradomain routing requirements and an interdomain routing model were defined. In addition, QoS-based multicast routing was discussed and a detailed review of related work was presented. The deployment of QoS-based routing across multiple administrative domains requires both the development of intradomain routing schemes and a standard way for them to interact via a well-defined interdomain routing mechanism. This document, while outlining the issues that must be addressed, did not engage in the specification of the actual features of the interdomain routing scheme. This would be the next step in the evolution of wide-area, multidomain QoS-based routing. REFERENCES [A79] V. Ahuja, "Routing and Flow Control in SNA", IBM Systems Journal, 18 No. 2, pp. 298-314, 1979. [A84] J. M. Akinpelu, "The Overload Performance of Engineered Networks with Non-Hierarchical Routing", AT&T Technical Journal, Vol. 63, pp. 1261-1281, 1984. [ACFH92] G. R. Ash, J. S. Chen, A. E. Frey and B. D. Huang, "RealTime Network Routing in a Dynamic Class-of-Service Network", Proceedings of ITC 13, 1992. [ACG92] H. Ahmadi, J. Chen, and R. Guerin, "Dynamic Routing and Call Control in High-Speed Integrated Networks", Proceedings of ITC-13, pp. 397-403, 1992. [B82] D. P. Bertsekas, "Dynamic Behavior of Shortest Path Routing Algorithms for Communication Networks", IEEE Trans. Auto. Control, pp. 60-74, 1982. [B85] A. E. Baratz, "SNA Networks of Small Systems", IEEE JSAC, May, 1985. [BBCD98] Black, D., Blake, S., Carlson, M., Davies, E., Wang, Z., and W. Weiss, "An Architecture for Differentiated Services", Work in Progress. [BCCH94] Braden, R., Clark, D., Crocker, D., and C. Huitema, "Report of IAB Workshop on Security in the Internet Architecture", RFC 1636, June 1994.
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[W97] Wroclawski, J., "Specification of the Controlled-Load Network Element Service", RFC 2211, September 1997. [WC96] Z. Wang and J. Crowcroft, "QoS Routing for Supporting Resource Reservation", IEEE JSAC, September, 1996. [YS81] T. P. Yum and M. Schwartz, "The Join-Based Queue Rule and its Application to Routing in Computer Communications Networks", IEEE Trans. Communications, pp. 505-511, 1981. [YS87] T. G. Yum and M. Schwartz, "Comparison of Routing Procedures for Circuit-Switched Traffic in Nonhierarchical Networks", IEEE Trans. Communications, pp. 535-544, May, 1987. [ZES97] Zappala, D., Estrin, D., and S. Shenker, "Alternate Path Routing and Pinning for Interdomain Multicast Routing", USC Computer Science Technical Report #97-655, USC, 1997. [ZSSC97] Zhang, Z., Sanchez, C., Salkewicz, B., and E. Crawley, "QoS Extensions to OSPF", Work in Progress.
AUTHORS' ADDRESSES Bala Rajagopalan NEC USA, C&C Research Labs 4 Independence Way Princeton, NJ 08540 U.S.A Phone: +1-609-951-2969 EMail: email@example.com Raj Nair Arrowpoint 235 Littleton Rd. Westford, MA 01886 U.S.A Phone: +1-508-692-5875, x29 EMail: firstname.lastname@example.org Hal Sandick Bay Networks, Inc. 1009 Slater Rd., Suite 220 Durham, NC 27703 U.S.A Phone: +1-919-941-1739 EMail: Hsandick@baynetworks.com Eric S. Crawley Argon Networks, Inc. 25 Porter Rd. Littelton, MA 01460 U.S.A Phone: +1-508-486-0665 EMail: email@example.com
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