Network Working Group S. Floyd Request for Comments: 5290 M. Allman Category: Informational ICSI July 2008 Comments on the Usefulness of Simple Best-Effort Traffic 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. IESG Note The content of this RFC was at one time considered by the IETF, and therefore it may resemble a current IETF work in progress or a published IETF work. This RFC is not a candidate for any level of Internet Standard. The IETF disclaims any knowledge of the fitness of this RFC for any purpose and notes that the decision to publish is not based on IETF review apart from IESG review for conflict with IETF work. The RFC Editor has chosen to publish this document at its discretion. See RFC 3932 for more information. Abstract This document presents some observations on "simple best-effort traffic", defined loosely for the purposes of this document as Internet traffic that is not covered by Quality of Service (QOS) mechanisms, congestion-based pricing, cost-based fairness, admissions control, or the like. One observation is that simple best-effort traffic serves a useful role in the Internet, and is worth keeping. While differential treatment of traffic can clearly be useful, we believe such mechanisms are useful as *adjuncts* to simple best- effort traffic, not as *replacements* of simple best-effort traffic. A second observation is that for simple best-effort traffic, some form of rough flow-rate fairness is a useful goal for resource allocation, where "flow-rate fairness" is defined by the goal of equal flow rates for different flows over the same path.
Table of Contents 1. Introduction ....................................................2 2. On Simple Best-Effort Traffic ...................................3 2.1. The Usefulness of Simple Best-Effort Traffic ...............4 2.2. The Limitations of Simple Best-Effort Traffic ..............4 2.2.1. Quality of Service (QoS) ............................4 2.2.2. The Avoidance of Congestion Collapse and the Enforcement of Fairness..............................6 2.2.3. Control of Traffic Surges ...........................6 3. On Flow-Rate Fairness for Simple Best-Effort Traffic ............6 3.1. The Usefulness of Flow-Rate Fairness .......................7 3.2. The Limitations of Flow-Rate Fairness ......................8 3.2.1. The Enforcement of Flow-Rate Fairness ...............8 3.2.2. The Precise Definition of Flow-Based Fairness .......9 4. On the Difficulties of Incremental Deployment ..................11 5. Related Work ...................................................12 5.1. From the IETF .............................................12 5.2. From Elsewhere ............................................13 6. Security Considerations ........................................14 7. Conclusions ....................................................14 8. Acknowledgements ...............................................14 9. Informative References .........................................14 1. Introduction This document gives some observations on the role of simple best- effort traffic in the Internet. For the purposes of this document, we define "simple best-effort traffic" as traffic that does not *rely* on the *differential treatment* of flows either in routers or in policers, enforcers, or other middleboxes along the path and that does not use admissions control. We define the term "simple best- effort traffic" to avoid unproductive semantic discussions about what the phrase "best-effort traffic" does or does not include. We note that our definition of "simple best-effort traffic" includes traffic that is not necessarily "simple", including mechanisms common in the current Internet such as pairwise agreements between ISPs, volume- based pricing, firewalls, and a wide range of mechanisms in middleboxes. "Simple best-effort traffic" in the current Internet uses end-to-end transport protocols (e.g., TCP, UDP, or others), with minimal requirements of the network in terms of resource allocation. However, other implementations of simple best-effort service would be possible, including those that would rely on Fair Queueing or some other form of per-flow scheduling in congested routers. Our intention is to define "simple best-effort traffic" to include the dominant traffic class in the current Internet.
In contrast to "simple best-effort traffic", intserv- or diffserv- enabled traffic relies on differential scheduling mechanisms at congested routers, with packets from different intserv or diffserv classes receiving different treatment. Similarly, in contrast to "simple best-effort traffic", cost-based fairness [B07] would most likely require the deployment of traffic marking (e.g., Explicit Congestion Notification (ECN)) at congested routers, along with policing mechanisms near the two ends of the connection providing differential treatment for packets in different flows or in different traffic classes. Intserv/diffserv, cost-based fairness, and congestion-based pricing could also require more complex pairwise economic relationships among Internet Service Providers (ISPs), and between end-users and ISPs. This document suggests that it is important to retain the class of "simple best-effort traffic" (though hopefully augmented by a wider deployment of other classes of service). Further, this document suggests that some form of rough flow-rate fairness is an appropriate goal for simple best-effort traffic. We do not argue in this document that flow-rate fairness is the *only possible* or *only desirable* resource allocation goal for simple best-effort traffic. We maintain, however, that it is an appropriate resource allocation goal for simple best-effort traffic in the current Internet, evolving from the Internet's past of end-point congestion control. This document was motivated by [B07], a paper titled "Flow Rate Fairness: Dismantling a Religion" that asserts in the abstract that "comparing flow rates should never again be used for claims of fairness in production networks." This document does not attempt to be a rebuttal to [B07], or to answer any or all of the issues raised in [B07], or to give the "intellectual heritage" for flow-based fairness in philosophy or social science, or to commit the authors of this document to an extended dialogue with the author of [B07]. This document is simply a separate viewpoint on some related topics. 2. On Simple Best-Effort Traffic This section makes some observations on the usefulness and limitations of the class of simple best-effort traffic, in comparison with traffic receiving differential treatment.
2.1. The Usefulness of Simple Best-Effort Traffic We now list some useful aspects of simple best-effort traffic. Minimal technical demands on the network infrastructure: Simple best-effort traffic, as implemented in the current Internet, makes minimal technical demands on the infrastructure. There are no technical requirements for scheduling, queue management, or enforcement mechanisms in routers. Minimal demands in terms of economic infrastructure: Simple best-effort traffic makes minimal demands in terms of economic infrastructure, relying on fairly simple pair-wise economic relationships among ISPs, and between a user and its immediate ISP. In contrast, Section 4 discusses some of the difficulties in the incremental deployment of infrastructure for additional classes of service. Usefulness in the real world: Simple best-effort traffic has been shown to work in the Internet for the past 20 years, however imperfectly. Simple best-effort traffic has supported everything from simple file and e-mail transfer and web traffic to video and audio streaming and voice communications. As discussed below, simple best-effort traffic is not optimal. However, experience in the Internet has shown that there has been significant value in the mechanism of simple best-effort traffic, generally allowing all users to get a portion of the resources while still preventing congestion collapse. 2.2. The Limitations of Simple Best-Effort Traffic We now discuss some limitations of simple best-effort traffic. 2.2.1. Quality of Service (QoS) Some users would be happy to pay for more bandwidth, less delay, less jitter, or fewer packet drops. It is desirable to accommodate such goals within the Internet architecture while preserving a sufficient amount of bandwidth for simple best-effort traffic. One of the obvious dangers of simple differential traffic treatment implementations that do not take steps to protect simple best-effort traffic would be that the users with more money *could* starve users
with less money in times of congestion. There seems to be fairly widespread agreement that this would not be a desirable goal. As a sample of the range of positions, the Internet Society's Internet 2020 Initiative, titled "The Internet is (still) for Everyone", states that "we remain committed to the openness that ensures equal access and full participation for every user" [Internet2020]. The wide-ranging discussion of "network neutrality" in the United States includes advocates of several positions, including that of "absolute non-discrimination" (with no QoS considerations), "limited discrimination without QoS tiering" (no fees charged for higher- quality service), and "limited discrimination and tiering" (including higher fees allowed for QoS) [NetNeutral]. The proponents of "network neutrality" are opposed to charging based on content (e.g., based on applications or the content provider). As the "network neutrality" discussion makes clear, there are many voices in the discussion that would disagree with a resource allocation goal of maximizing the combined aggregate utility (advocated in [B07a]), particularly where a user's utility is measured by the user's willingness to pay. "You get what you pay for" ([B07], page 5) does not appear to be the consensus goal for resource allocation in the community or in the commercial or political realms of the Internet. However, there is a reasonable agreement that higher-priced services, as an adjunct to simple best- effort traffic, can play an important role in helping to finance the Internet infrastructure. Briscoe argues for cost-fairness [B07], so that senders are made accountable for the congestion they cause. There are, of course, differences of opinion about how well cost-based fairness could be enforced, and how well it fits the commercial reality of the Internet, with [B07] presenting an optimistic view. Another point of view, e.g., from an earlier paper by Roberts titled "Internet Traffic, QoS, and Pricing", is that "many proposed schemes are overly concerned with congestion control to the detriment of the primary pricing function of return on investment" [R04]. With *only* simple best-effort traffic, there would be fundamental limitations to the performance that real-time applications could deliver to users. In addition to the obvious needs for high bandwidth, low delay or jitter, or low packet drop rates, some applications would like a fast start-up, or to be able to resume their old high sending rate after a relatively long idle period, or to be able to rely on a call-setup procedure so that the application is not even started if network resources are not sufficient. There are severe limitations to how effectively these requirements can be accommodated by simple best-effort service in a congested
environment. Of course, Quality of Service architectures for the Internet have their own limitations and difficulties, as discussed in [RFC2990] and elsewhere. We are not going to discuss these difficulties further here. 2.2.2. The Avoidance of Congestion Collapse and the Enforcement of Fairness As discussed in Section 3.2 below, there are well-known problems with the enforcement of fairness and the avoidance of congestion collapse [RFC2914] with simple best-effort traffic. In the current Internet, end-to-end congestion control is relied upon to deal with these concerns; this use of end-to-end congestion control essentially requires cooperation from end-hosts. 2.2.3. Control of Traffic Surges Simple best-effort traffic can suffer from sudden aggregate congestion from traffic surges (e.g., Distributed Denial of Service (DDoS) attacks, flash crowds), resulting in degraded performance for all simple best-effort traffic sharing the path. A wide range of approaches for detecting and responding to sudden aggregate congestion in the network has been proposed and used, including deep packet inspection and rate-limiting traffic aggregates. There are many open questions about both the goals and mechanisms of dealing with aggregates within simple best-effort traffic on congested links. 3. On Flow-Rate Fairness for Simple Best-Effort Traffic This section argues that rough flow-rate fairness is an acceptable goal for simple best-effort traffic. We do not, however, claim that flow-rate fairness is necessarily an *optimal* fairness goal or resource allocation mechanism for simple best-effort traffic. Simple best-effort traffic and flow-rate fairness are in general not about optimality, but instead are about a low-overhead service (best-effort traffic) along with a rough, simple fairness model (flow-rate fairness). Within simple best-effort traffic, it would be possible to have explicit fairness mechanisms that are implemented by the end-hosts in the network (as in proportional fairness or TCP fairness), explicit fairness mechanisms enforced by the routers (as in max-min fairness with Fair Queueing), or a traffic class with no explicit fairness mechanisms at all (as in the Internet before TCP congestion control). This document does *not* address the issues about the implementation of flow-rate fairness. In the current Internet, rough flow-rate fairness is achieved by the fact that *most* of the traffic in the
Internet uses TCP, and *most* of the TCP connections in fact use conformant TCP congestion control [MAF05]. However, rough flow-rate fairness could also be achieved by the use of per-flow scheduling at congested routers [DKS89] [LLSZ96], by related router mechanisms [SSZ03], or by congestion-controlled transport protocols other than TCP. This document does not address the pros and cons of TCP- friendly congestion control, equation-based congestion control [FHPW00], or any of the myriad of other issues concerning mechanisms for approximating flow-rate fairness. Le Boudec's tutorial on rate adaption, congestion control, and fairness gives an introduction to some of these issues [B00]. 3.1. The Usefulness of Flow-Rate Fairness We note that the limitations of flow-rate fairness are many, with a long history in the literature. We discuss these limitations in the next section. While the benefits of simple best-effort traffic and rough flow-rate fairness are rarely discussed, this does *not* mean that benefits do not exist. In this section, we discuss the benefits of flow-rate fairness. We note that many of the useful aspects of simple best-effort traffic discussed above also qualify as useful aspects of rough flow-rate fairness. For simple best-effort traffic with rough flow-rate fairness, the quote from Winston Churchill about democracy comes to mind: "Democracy is the worst form of government except all those other forms that have been tried from time to time" [C47]. Minimal technical demands on the network infrastructure: First, the rough flow-rate fairness for best-effort traffic provided by TCP or other transport protocols makes minimal technical demands on the infrastructure, as TCP's congestion control algorithms are wholly implemented in the end-hosts. However, mechanisms for *enforcement* of the flow-rate fairness *would* require some support from the infrastructure. Minimal demands in terms of economic infrastructure: A system based on rough flow-rate fairness for simple best-effort traffic makes minimal demands in terms of economic relationships among ISPs or between users and ISPs. In contrast, Section 4 discusses some of the difficulties in the incremental deployment of infrastructure for cost-based fairness or other fairness mechanisms.
Usefulness in the real world: The current system -- based on rough flow-rate fairness and simple best-effort traffic -- has shown its usefulness in the real world. Getting a share of the available bandwidth: A system based on rough flow-rate fairness and simple best-effort traffic gives all users a reasonable chance of getting a share of the available bandwidth. This seems to be a quality that is much appreciated by today's Internet users (as discussed above). 3.2. The Limitations of Flow-Rate Fairness This section discusses some of the limitations of flow-rate fairness for simple best-effort traffic. 3.2.1. The Enforcement of Flow-Rate Fairness One of the limitations of rough flow-rate fairness is the difficulty of enforcement. One possibility for implementing flow-rate fairness would be an infrastructure designed from the start with a requirement for ubiquitous per-flow scheduling in routers. However, when starting with an infrastructure such as the current Internet with best-effort traffic largely served by First-In First-Out (FIFO) scheduling in routers and a design preference for intelligence at the ends, enforcement of flow-rate fairness is difficult at best. Further, a transition to an infrastructure that provides actual flow-rate fairness for best-effort traffic enforced in routers would be difficult. A second possibility, which is largely how the current Internet is operated, would be simple best-effort traffic where most of the connections, packets, and bytes belong to connections using similar congestion-control mechanisms (in this case, those of TCP congestion control), with few if any enforcement mechanisms. Of course, when this happens, the result is a rough approximation of flow-rate fairness, with no guarantees that the simple best-effort traffic will continue to be dominated by connections using similar congestion- control mechanisms or that users or applications cannot game the system for their benefit. That is our current state of affairs. The good news is that the current Internet continues to successfully carry traffic for many users. In particular, we are not aware of reports of frequent congestion collapse, or of the Internet being dominated by severe congestion or intolerable unfairness.
A third possibility would be simple best-effort traffic with flow- rate fairness provided by the congestion control mechanisms in the transport protocols, with some level of enforcement, either in congested routers, in middleboxes, or by other mechanisms [MBFIPS01] [MF01] [SSZ03]. There seems to us to be considerable promise that incentives among the various players (ISPs, vendors, customers, standards bodies, political entities, etc.) will align somewhat, and that further progress will be made on the deployment of various enforcement mechanisms for flow-rate fairness for simple best-effort traffic. Of course, this is not likely to turn in to a fully reliable and ubiquitous enforcement of flow-rate fairness, or of any related fairness goals, for simple best-effort traffic, so this is not likely to be satisfactory to purists in this area. However, it may be enough to continue to encourage most systems to use standard congestion control. 3.2.2. The Precise Definition of Flow-Based Fairness A second limitation of flow-based fairness is that there is seemingly no consensus within the research, standards, or technical communities about the precise form of flow-based fairness that should be desired for simple best-effort traffic. This area is very much still in flux, as applications, transport protocols, and the Internet infrastructure evolve. Some of the areas where there is a range of opinions about the desired goals for rough flow-based fairness for simple best-effort traffic include the following: * Granularity: What is the appropriate fairness granularity? That is, for flow-based fairness, what is the definition of a 'flow'? (This question has been explicitly posed in [RFC2309], [RFC2914], and many other places.) Should fairness be assessed on a per- connection basis? Should fairness take into account multiple connections between a pair of end-hosts (e.g., as suggested by [RFC3124])? If congestion control applies to each individual connection, what controls (if any) should constrain the number of connections opened between a pair of end-hosts? As an example, RFC 2616 specifies that with HTTP 1.1, a single-user client SHOULD NOT maintain more than two persistent connections with any server or proxy [RFC2616] (Section 8.1.4). For peer-to-peer traffic, different operating systems have different limitations on the maximum number of peer-to-peer connections; Windows XP Pro has a limit of ten simultaneous peer-to-peer connections, Windows XP Home (for the client) has a limit of five, and an OS X client has a limit of ten [P2P].
* RTT fairness: What is the desired relationship between flow bandwidth and round-trip times, for simple best-effort traffic? As shown in Section 3.3 of [FJ92], it would be straightforward to modify TCP's congestion control algorithms so that flows with similar packet drop rates but different round-trip times would receive roughly the same throughput. This question is further studied in [HSMK98]. It remains an open question what would be the desired relationship between throughput and round-trip times for simple best-effort traffic, particularly for applications or transport protocols using some form of feedback-based congestion control. * Multiple congested routers: What is the desired relationship between flow bandwidth and the number of congested routers along the path, for simple best-effort traffic? It is well established that for TCP traffic in particular, flows that traverse multiple congested routers receive a higher packet drop rate, and therefore lower throughput, than flows with the same round-trip time that traverse only one congested router [F91]. There is also a long- standing debate between max-min fairness [HG86] and proportional fairness [KMT98], and no consensus within the research community on the desired fairness goals in this area. * Bursty vs. smooth traffic: What is the desired relationship between flow bandwidth and the burstiness in the sending rate of the flow? Is it a goal for a bursty flow to receive the same average or maximum bandwidth as a flow with a smooth sending rate? How does the goal depend on the time scale of the burstiness of the flow [K96]? For instance, a flow that is bursty on time scales of less than a round-trip time has different dynamics than a flow that is bursty on a time scale of seconds or minutes. * Packets or bytes: Should the rough fairness goals be in terms of packets per second or bytes per second [RFC3714]? And if the fairness goals are in terms of bytes per second, does this include the bandwidth used by packet headers (e.g., TCP and IP headers)? * Different transport protocols: Should the transport protocol used (e.g., UDP, TCP, SCTP, DCCP) or the application affect the rough fairness goals for simple best-effort traffic? * Unicast vs. multicast: What should the fairness goals be between unicast and multicast traffic [FD04] [ZOX05]? * Precision of fairness: How precise should the fairness goals be? Is the precision that is possible from per-flow scheduling the right benchmark? Or, is a better touchstone the rough fairness over multiple round-trip times achieved by TCP flows over FIFO
scheduling? Or, is a goal of even more rough fairness of an order of magnitude or more between flows using different transport protocols right? There is a range of literature for each of these topics, and we have not attempted to cite it all above. Rough flow-based fairness for simple best-effort traffic could evolve with a range of possibilities for fairness in terms of round-trip times, the number of congested routers, packet size, or the number of receivers per flow. (Further discussion can be found in [RFC5166].) Fairness over time: One issue raised in [B07] concerns how fairness should be integrated over time. For example, for simple best-effort traffic, should long flows receive less bandwidth in bits per second than short flows? For cost-based fairness or for QoS-based traffic, it seems perfectly viable for there to be some scenarios where the cost is a function of flow or session lifetime. It also seems viable for there to be some scenarios where the cost of QoS-enabled traffic is independent of flow or session lifetime (e.g., for a private Intranet that is measured only by the bandwidth of the access link, but where any traffic sent on that Intranet is guaranteed to receive a certain QoS). However, for simple best-effort traffic, the current form of rough fairness seems acceptable, with fairness that is independent of session length. That is, in the current Internet, a user who opens a single TCP connection for ten hours *might* receive the same average throughput in bits per second, during that TCP connection, as a user who opens a single TCP connection for ten minutes and then goes off-line. Similarly, a user who is online for ten hours each day *might* receive the same throughput in bits per second, and pay roughly the same cost, as a user who is online for ten minutes each day. That seems acceptable to us. Other pricing mechanisms between users and ISPs seem acceptable also. The current Internet includes a wide range of pricing mechanisms between users and ISPs for best-effort traffic. 4. On the Difficulties of Incremental Deployment One of the advantages of simple best-effort service is that it is currently operational in the Internet, along with the rough flow-rate fairness that results from the dominance of TCP's congestion control.
While additional classes of service would clearly be of use in the Internet, the deployment difficulties of such mechanisms have been non-trivial [B03]. The problems of deploying interlocking changes to the infrastructure do not necessarily have an easy fix as they stem in part from the underlying architecture of the Internet. As explained in RFC 1958 titled "Architectural Principles of the Internet": "Fortunately, nobody owns the Internet, there is no centralized control, and nobody can turn it off" [RFC1958]. Some of the difficulties of making changes in the Internet infrastructure, including the difficulties imposed by the political and economic context, have been discussed elsewhere (e.g., [CMB07]). The difficulty of making changes to the Internet infrastructure is in contrast to the comparative ease in making changes in Internet applications. The difficulties of deployment for end-to-end intserv or diffserv mechanisms are well-known, having in part to do with the difficulties of deploying the required economic infrastructure [B03]. It seems likely that cost-based schemes based on re-ECN could also have a difficult deployment path, involving the deployment of ECN-marking at routers, policers at both ends of a connection, and a change in pairwise economic relationships to include a congestion metric [B07]. Some infrastructure deployment problems are sufficiently difficult that they have their own working groups in the IETF [MBONED]. 5. Related Work 5.1. From the IETF This section discusses IETF documents relating to simple best-effort service and flow-rate fairness. RFC 896 on congestion control: Nagle's RFC 896 titled "Congestion Control in IP/TCP", from 1984, raises the issue of congestion collapse, and says that "improved handling of congestion is now mandatory" [RFC896]. RFC 896 was written in the context of a heavily loaded network, the only private TCP/IP long-haul network in existence at the time (that of Ford Motor Company, in 1984). In addition to introducing the Nagle algorithm for minimizing the transmission of small packets in TCP, RFC 896 considers the effectiveness of ICMP Source Quench for congestion control, and comments that future gateways should be capable of defending themselves against obnoxious or malicious hosts. However, RFC 896 does not raise the question of fairness between competing users or flows.
RFC 2309 on unresponsive flows: RFC 2309, an Informational document from the End-to-End Research Group titled "Recommendations on Queue Management and Congestion Avoidance in the Internet" from 2000, contains the following recommendation: "It is urgent to begin or continue research, engineering, and measurement efforts contributing to the design of mechanisms to deal with flows that are unresponsive to congestion notification or are responsive but more aggressive than TCP" [RFC2309]. RFC 2616 on opening multiple connections: RFC 2616, the standards- track document for HTTP/1.1, specifies that "clients that use persistent connections SHOULD limit the number of simultaneous connections that they maintain to a given server" (Section 8.1.4 of [RFC2616]). RFC 2914 on congestion control principles: RFC 2914, a Best Current Practice document, from 2000 titled "Congestion Control Principles", discusses the issues of preventing congestion collapse, maintaining some form of fairness for best-effort traffic, and optimizing a flow's performance in terms of throughput, delay, and loss for the flow in question. In the discussion of fairness, RFC 2914 outlines policy issues concerning the appropriate granularity of a "flow", and acknowledges that end nodes can easily open multiple concurrent flows to the same destination. RFC 2914 also discusses open issues concerning fairness between reliable unicast, unreliable unicast, reliable multicast, and unreliable multicast transport protocols. RFC 3714 on the amorphous problem of fairness: Section 3.3 of RFC 3714, an Informational document from the IAB (Internet Architecture Board) discussing congestion control for best-effort voice traffic, has a discussion of "the amorphous problem of fairness", discussing complicating issues of packet sizes, round-trip times, application- level functionality, and the like [RFC3714]. RFCs on QoS: There is a long history in the IETF of the development of QoS mechanisms for integrated and differentiated services [RFC2212, RFC2475]. These include lower effort per-domain behaviors that could be used to protect best-effort traffic from lower-priority traffic [RFC3662]. 5.2. From Elsewhere This section briefly mentions some of the many papers in the literature on best-effort traffic or on fairness for competing flows or users. [B07] also has a section on some of the literature regarding fairness in the Internet.
Fairness with AIMD: Fairness with AIMD (Additive Increase Multiplicative Decrease) congestion control was studied by Chiu and Jain in 1987, where fairness is maximized when each user or flow gets equal allocations of the bottleneck bandwidth [CJ89]. Van Jacobson's 1988 paper titled "Congestion Avoidance and Control" defined TCP's AIMD-based congestion control mechanisms [J88]. Fair Queueing: The 1989 paper on Fair Queueing by Demers et al. promoted Fair Queueing scheduling at routers as providing fair allocation of bandwidth, lower delay for low-bandwidth traffic, and protection from ill-behaved sources [DKS89]. Congestion-based pricing: One of the early papers on congestion-based pricing in networks is the 1993 paper titled "Pricing the Internet" by MacKie-Mason and Varian [MV93]. This paper proposed a "Smart Market" to price congestion in real time, with a per-packet charge reflecting marginal congestion costs. Frank Kelly's web page at [Proportional] has citations to papers on proportional fairness, including [K97] titled "Charging and Rate Control for Elastic Traffic". Other papers on pricing in computer networks include [SCEH96], which is in part a critique of some of the pricing proposals in the literature at the time. [SCEH96] argues that usage charges must remain at significant levels even if congestion is extremely low. 6. Security Considerations This document does not propose any new mechanisms for the Internet, and so does not require any security considerations. 7. Conclusions This document represents the views of the two authors on the role of simple best-effort traffic in the Internet. 8. Acknowledgements We thank Ran Atkinson, Roland Bless, Bob Briscoe, Mitchell Erblich, Ted Faber, Frank Kelly, Tim Shephard, and members of the Transport Area Working Group for feedback on this document. 9. Informative References [B00] J.-Y. Le Boudec, Rate adaptation, Congestion Control and Fairness: A Tutorial, 2000. URL "http://citeseer.ist.psu.edu/boudec00rate.html" or "http://ica1www.epfl.ch/PS_files/LEB3132.pdf".
[B03] G. Bell, Failure to Thrive: QoS and the Culture of Operational Networking, Proceedings of the ACM SIGCOMM Workshop on Revisiting IP QoS: What Have We Learned, Why Do We Care?, pp. 115-120, 2003, URL "http://doi.acm.org/10.1145/944592.944595". [B07] B. Briscoe, Flow Rate Fairness: Dismantling a Religion, ACM SIGCOMM Computer Communication Review, V.37 N.2, April 2007. [B07a] B. Briscoe, "Flow Rate Fairness: Dismantling a Religion", Work in Progress, July 2007. [CJ89] Chiu, D.-M., and Jain, R., Analysis of the Increase and Decrease Algorithms for Congestion Avoidance in Computer Networks, Computer Networks and ISDN Systems, V. 17, pp. 1-14, 1989. [The DEC Technical Report DEC-TR-509 was in 1987.] [CMB07] kc claffy, Sascha D. Meinrath, and Scott O. Bradner, The (un)Economic Internet?, IEEE Internet Computing, vol. 11, no. 3, pp. 53--58, May 2007. URL "http://www.caida.org/publications/papers/2007/ieeecon/". [C47] Churchill, W., speech, House of Commons, November 11, 1947. URL "http://www.askoxford.com/quotations/827?view=uk". [DKS89] A. Demers, S. Keshav, and S. Shenker, Analysis and Simulation of a Fair Queueing Algorithm, SIGCOMM, 1989. [F91] Floyd, S., Connections with Multiple Congested Gateways in Packet-Switched Networks Part 1: One-way Traffic, Computer Communication Review, Vol.21, No.5, October 1991. [FD04] F. Filali and W. Dabbous, Fair Bandwidth Sharing between Unicast and Multicast Flows in Best-Effort Networks, Computer Communications, V.27 N.4, pp. 330-344, March 2004. [FHPW00] Floyd, S., Handley, M., Padhye, J., and Widmer, J, Equation-Based Congestion Control for Unicast Applications, SIGCOMM, August 2000. [FJ92] On Traffic Phase Effects in Packet-Switched Gateways, Floyd, S. and Jacobson, V., Internetworking: Research and Experience, V.3 N.3, September 1992.
[HG86] E. Hahne and R. Gallager, Round Robin Scheduling for Fair Flow Control in Data Communications Networks, IEEE International Conference on Communications, June 1986. [HSMK98] Henderson, T.R., E. Sahouria, S. McCanne, and R.H. Katz, On Improving the Fairness of TCP Congestion Avoidance, Globecom, November 1998. [Internet2020] Internet Society, An Internet 2020 Initiative: The Internet is (still) for Everyone, 2007. URL "http:// www.isoc.org/orgs/ac/cms/uploads/docs/2020_vision.pdf". [J88] V. Jacobson, Congestion Avoidance and Control, SIGCOMM '88, August 1988. [K96] F. Kelly, Charging and Accounting for Bursty Connections, In L. W. McKnight and J. P. Bailey, editors, Internet Economics. MIT Press, 1997. [K97] F. Kelly, Charging and Rate Control for Elastic Traffic, European Transactions on Telecommunications, 8:33--37, 1997. [KMT98] F. Kelly, A. Maulloo and D. Tan, Rate Control in Communication Networks: Shadow Prices, Proportional Fairness and Stability. Journal of the Operational Research Society 49, pp. 237-252, 1998. URL "http://citeseer.ist.psu.edu/kelly98rate.html". [LLSZ96] C. Lefelhocz, B. Lyles, S. Shenker, and L. Zhang, Congestion Control for Best-effort Service: Why We Need a New Paradigm, IEEE Network, vol. 10, pp. 10-19, Jan. 1996. [MAF05] A. Medina, M. Allman, and S. Floyd, Measuring the Evolution of Transport Protocols in the Internet, Computer Communications Review, April 2005. [MBFIPS01] R. Manajan, S. Bellovin, S. Floyd, J. Ioannidis, V. Paxson, and S. Shenker, Controlling High Bandwidth Aggregates in the Network, Computer Communications Review, V.32 N.3, July 2002. [MBONED] MBONE Deployment Working Group, URL "http://www.ietf.org/html.charters/mboned-charter.html".
[MF01] Mahajan, R., and Floyd, S., Controlling High-Bandwidth Flows at the Congested Router, ICNP 2001, November 2001. [MV93] J. K. MacKie-Mason and H. Varian, Pricing the Internet, in the conference on Public Access to the Internet, JFK School of Government, May 1993. [NetNeutral] Network Neutrality, Wikipedia. URL "http://en.wikipedia.org/wiki/Net_neutrality". [P2P] "Maximum Number of Peer-to-Peer Connections", MAC OS X Hints web site, February 2007, URL "http://forums.macosxhints.com/showthread.php?t=67237". [Proportional] Kelly, F., papers on Proportional Fairness. URL "http://www.statslab.cam.ac.uk/~frank/pf/". [R04] J. Roberts, Internet Traffic, QoS, and Pricing, Proceedings of the IEEE, V.92 N.9, September 2004. [RFC896] Nagle, J., "Congestion control in IP/TCP internetworks", RFC 896, January 1984. [RFC1958] Carpenter, B., Ed., "Architectural Principles of the Internet", RFC 1958, June 1996. [RFC2212] Shenker, S., Partridge, C., and R. Guerin, "Specification of Guaranteed Quality of Service", RFC 2212, September 1997. [RFC2309] Braden, B., Clark, D., Crowcroft, J., Davie, B., Deering, S., Estrin, D., Floyd, S., Jacobson, V., Minshall, G., Partridge, C., Peterson, L., Ramakrishnan, K., Shenker, S., Wroclawski, J., and L. Zhang, "Recommendations on Queue Management and Congestion Avoidance in the Internet", RFC 2309, April 1998. [RFC2475] Blake, S., Black, D., Carlson, M., Davies, E., Wang, Z., and W. Weiss, "An Architecture for Differentiated Service", RFC 2475, December 1998. [RFC2616] Fielding, R., Gettys, J., Mogul, J., Frystyk, H., Masinter, L., Leach, P., and T. Berners-Lee, "Hypertext Transfer Protocol -- HTTP/1.1", RFC 2616, June 1999.
[RFC2914] Floyd, S., "Congestion Control Principles", BCP 41, RFC 2914, September 2000. [RFC2990] Huston, G., "Next Steps for the IP QoS Architecture", RFC 2990, November 2000. [RFC3124] Balakrishnan, H. and S. Seshan, "The Congestion Manager", RFC 3124, June 2001. [RFC3662] Bless, R., K. Nichols, and K. Wehrle, "A Lower Effort Per- Domain Behavior (PDB) for Differentiated Services", RFC 3662, December 2003. [RFC3714] Floyd, S., Ed., and J. Kempf, Ed., "IAB Concerns Regarding Congestion Control for Voice Traffic in the Internet", RFC 3714, March 2004. [RFC5166] Floyd, S., Ed., "Metrics for the Evaluation of Congestion Control Mechanisms", RFC 5166, March 2008. [SCEH96] Shenker, D. D. Clark, D. Estrin, and S. Herzog, Pricing in Computer Networks: Reshaping the Research Agenda, ACM Computer Communication Review, vol. 26, April 1996. [SSZ03] I. Stoica, S. Shenker, and H. Zhang, Core-Stateless Fair Queueing: a Scalable Architecture to Approximate Fair Bandwidth Allocations in High-speed Networks, IEEE/ACM Transactions on Networking 11(1): 33-46, 2003. [ZOX05] Zhang, T., P. Osterberg, and Youzhi Xu, Multicast- favorable Max-Min Fairness - a General Definition of Multicast Fairness, Distributed Frameworks for Multimedia Applications, February 2005.
Authors' Addresses Sally Floyd ICSI Center for Internet Research 1947 Center Street, Suite 600 Berkeley, CA 94704 USA EMail: firstname.lastname@example.org URL: http:/www.icir.org/floyd/ Mark Allman International Computer Science Institute 1947 Center Street, Suite 600 Berkeley, CA 94704-1198 Phone: (440) 235-1792 EMail: email@example.com URL: http://www.icir.org/mallman/
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