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RFC 3402

Dynamic Delegation Discovery System (DDDS) Part Two: The Algorithm

Pages: 17
Proposed Standard
Obsoletes:  29152168

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Network Working Group                                        M. Mealling
Request for Comments: 3402                                      Verisign
Obsoletes: 2915, 2168                                       October 2002
Category: Standards Track

               Dynamic Delegation Discovery System (DDDS)
                        Part Two: The Algorithm

Status of this Memo

   This document specifies an Internet standards track protocol for the
   Internet community, and requests discussion and suggestions for
   improvements.  Please refer to the current edition of the "Internet
   Official Protocol Standards" (STD 1) for the standardization state
   and status of this protocol.  Distribution of this memo is unlimited.

Copyright Notice

   Copyright (C) The Internet Society (2002).  All Rights Reserved.


This document describes the Dynamic Delegation Discovery System (DDDS) algorithm for applying dynamically retrieved string transformation rules to an application-unique string. Well-formed transformation rules will reflect the delegation of management of information associated with the string. This document is also part of a series that is completely specified in "Dynamic Delegation Discovery System (DDDS) Part One: The Comprehensive DDDS" (RFC 3401). It is very important to note that it is impossible to read and understand any document in this series without reading the others.
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Table of Contents

1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 2 2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3 3. The Algorithm . . . . . . . . . . . . . . . . . . . . . . . . 4 3.1 Components of a Rule . . . . . . . . . . . . . . . . . . . . . 6 3.2 Substitution Expression Syntax . . . . . . . . . . . . . . . . 6 3.3 The Complete Algorithm . . . . . . . . . . . . . . . . . . . . 8 4. Specifying An Application . . . . . . . . . . . . . . . . . . 9 5. Specifying A Database . . . . . . . . . . . . . . . . . . . . 11 6. Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 6.1 An Automobile Parts Identification System . . . . . . . . . . 12 6.2 A Document Identification Service . . . . . . . . . . . . . . 14 7. Security Considerations . . . . . . . . . . . . . . . . . . . 15 8. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 15 References . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Author's Address . . . . . . . . . . . . . . . . . . . . . . . 16 Full Copyright Statement . . . . . . . . . . . . . . . . . . . 17

1. Introduction

The Dynamic Delegation Discovery System (DDDS) is used to implement lazy binding of strings to data, in order to support dynamically configured delegation systems. The DDDS functions by mapping some unique string to data stored within a DDDS Database by iteratively applying string transformation rules until a terminal condition is reached. This document describes the general DDDS algorithm, not any particular application or usage scenario. The entire series of documents is specified in "Dynamic Delegation Discovery System (DDDS) Part One: The Comprehensive DDDS" (RFC 3401) [1]. It is very important to note that it is impossible to read and understand a single document in that series without reading the related documents. The DDDS's history is an evolution from work done by the Uniform Resource Name Working Group. When Uniform Resource Names (URNs) [6] were originally formulated there was the desire to locate an authoritative server for a URN that (by design) contained no information about network locations. A system was formulated that could use a database of rules that could be applied to a URN to find out information about specific chunks of syntax. This system was originally called the Resolver Discovery Service (RDS) [7] and only applied to URNs.
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   Over time other systems began to apply this same algorithm and
   infrastructure to other, non-URN related, systems (see Section 6 for
   examples of other ways of using the DDDS).  This caused some of the
   underlying assumptions to change and need clarification.  These
   documents are an update of those original URN specifications in order
   to allow new applications and rule databases to be developed in a
   standardized manner.

   This document obsoletes RFC 2168 [11] and RFC 2915 [9] as well as
   updates RFC 2276 [7].

2. Terminology

The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119. Application Unique String A string that is the initial input to a DDDS application. The lexical structure of this string must imply a unique delegation path, which is analyzed and traced by the repeated selection and application of Rewrite Rules. Rewrite Rule A rule that is applied to an Application Unique String to produce either a new key to select a new rewrite rule from the rule database, or a final result string that is returned to the calling application. Also simply known as a Rule. First Well Known Rule This is a rewrite rule that is defined by the application and not actually in the Rule Database. It is used to produce the first valid key. Terminal Rule A Rewrite Rule that, when used, yields a string that is the final result of the DDDS process, rather than another database key. Application A set of protocols and specifications that specify actual values for the various generalized parts of the DDDS algorithm. An Application must define the syntax and semantics of the Application Unique String, the First Well Known Rule, and one or more Databases that are valid for the Application.
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   Rule Database
      Any store of Rules such that a unique key can identify a set of
      Rules that specify the delegation step used when that particular
      Key is used.

      A common rule database may be used to associate different services
      with a given Application Unique String; e.g., different protocol
      functions, different operational characteristics, geographic
      segregation, backwards compatibility, etc.  Possible service
      differences might be message receiving services for email/fax/
      voicemail, load balancing over web servers, selection of a nearby
      mirror server, cost vs performance trade-offs, etc.  These
      Services are included as part of a Rule to allow the Application
      to make branching decisions based on the applicability of one
      branch or the other from a Service standpoint.

      Most Applications will require a way for a Rule to signal to the
      Application that some Rules provide particular outcomes that
      others do not; e.g., different output formats, extensibility
      mechanisms, terminal rule signaling, etc.  Most Databases will
      define a Flags field that an Application can use to encode various
      values that express these signals.

3. The Algorithm

The DDDS algorithm is based on the concept of Rewrite Rules. These rules are collected into a DDDS Rule Database, and accessed by given unique keys. A given Rule, when applied to an Application Unique String, transforms that String into new Key that can be used to retrieve a new Rule from the Rule Database. This new rule is then reapplied to the original Application Unique String and the cycle repeats itself until a terminating condition is reached. An Application MUST NOT apply a Rule to the output of a previous Rule. All Rewrite Rules for all Applications must ALWAYS apply to the exact same Application Unique String that the algorithm started with. It is a fundamental assumption that the Application Unique String has some kind of regular, lexical structure that the rules can be applied to. It is an assumption of the DDDS that the lexical element used to make a delegation decision is simple enough to be contained within the Application Unique String itself. The DDDS does not solve the case where a delegation decision is made using knowledge contained outside the AUS and the Rule (time of day, financial transactions, rights management, etc.).
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   Diagrammatically the algorithm looks like this:

          +--------- Application Unique String
          |                 +-----+
          |                 |input|
          |         +-------+     +---------+
          |         | First Well Known Rule |
          |         +-------+      +--------+
          |                 |output|
          |                 +------+
          |                First Key
          |                    |
          |                    +----<--------------<--------------+
          |                    |                                  |
          |                   key     (a DDDS database always     |
          |                 +-----+    takes a key and returns    |
          |                 |input|    a rule)                    ^
          |       +---------+     +------------+                  |
          |       | Lookup key in DDDS Database|                  |
          |       +---------+      +-----------+                  |
          |                 |output|                              |
          |                 +------+                              |
          |                 rule set                              |
          |                    |                                  |
          |                    |      (the input to a rule        |
          |                 rule set  is the rule and the AUS.    ^
          |                 +-----+   The output is always        |
          +---------------->|input|   either a key or the result) |
            +---------------+     +------------------+            |
            | Apply Rules to Application Unique String|           |
            | until non-empty result are obtained     |           |
            | that meet the applications requirements |           |
            +---------------+      +-----------------+            |
                            |output|                              |
                            +------+                              ^
                              key                                 |
                               |                                  |
                               v                                  |
               +--------------------------------------+           |
               | Was the last matching rule terminal? | No >------+
                              Yes     (if the rule isn't terminal then
                               |      its output is the new key which
                               |      is used to find a new rule set)
              | The output of the last rule is the |
              | result desired by the application  |
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3.1 Components of a Rule

A Rule is made up of 4 pieces of information: A Priority Simply a number used to show which of two otherwise equal rules may have precedence. This allows the database to express rules that may offer roughly the same results but one delegation path may be faster, better, cheaper than the other. A Set of Flags Flags are used to specify attributes of the rule that determine if this rule is the last one to be applied. The last rule is called the terminal rule and its output should be the intended result for the application. Flags are unique across Applications. An Application may specify that it is using a flag defined by yet another Application but it must use that other Application's definition. One Application cannot redefine a Flag used by another Application. This may mean that a registry of Flags will be needed in the future but at this time it is not a requirement. A Description of Services Services are used to specify semantic attributes of a particular delegation branch. There are many cases where two delegation branches are identical except that one delegates down to a result that provides one set of features while another provides some other set. Features may include operational issues such as load balancing, geographically based traffic segregation, degraded but backwardly compatible functions for older clients, etc. For example, two rules may equally apply to a specific delegation decision for a string. One rule can lead to a terminal rule that produces information for use in high availability environments while another may lead to an archival service that may be slower but is more stable over long periods of time. A Substitution Expression This is the actual string modification part of the rule. It is a combination of a POSIX Extended Regular Expression [8] and a replacement string similar to Unix sed-style substitution expression.

3.2 Substitution Expression Syntax

The character set(s) that the substitution expression is in and can act on are dependent both on the Application and on the Database being used. An Application must define what the allowed character sets are for the Application Unique String. A DDDS Database specification must define what character sets are required for
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   producing its keys and for how the substitution expression itself is
   encoded.  The grammar-required characters below only have meaning
   once a specific character set is defined for the Database and/or

   The syntax of the Substitution Expression part of the rule is a
   sed-style substitution expression.  True sed-style substitution
   expressions are not appropriate for use in this application for a
   variety of reasons, therefore the contents of the regexp field MUST
   follow this grammar:

subst-expr   = delim-char  ere  delim-char  repl  delim-char  *flags
delim-char   = "/" / "!" / <Any octet not in 'POS-DIGIT' or 'flags'>
                   ; All occurrences of a delim_char in a subst_expr
                   ; must be the same character.>
ere          = <POSIX Extended Regular Expression>
repl         = *(string / backref)
string       = *(anychar / escapeddelim)
anychar      = <any character other than delim-char>
escapeddelim = "\" delim-char
backref      = "\" POS-DIGIT
flags        = "i"
POS-DIGIT    = "1" / "2" / "3" / "4" / "5" / "6" / "7" / "8" / "9"

   The result of applying the substitution expression to the String MUST
   result in a key which obeys the rules of the Database (unless of
   course it is a Terminal Rule in which case the output follows the
   rules of the application).  Since it is possible for the regular
   expression to be improperly specified, such that a non-conforming key
   can be constructed, client software SHOULD verify that the result is
   a legal database key before using it.

   Backref expressions in the repl portion of the substitution
   expression are replaced by the (possibly empty) string of characters
   enclosed by '(' and ')' in the ERE portion of the substitution
   expression.  N is a single digit from 1 through 9, inclusive.  It
   specifies the N'th backref expression, the one that begins with the
   N'th '(' and continues to the matching ')'.  For example, the ERE


    has backref expressions:

                         \1  = ABCDEFG
                         \2  = BCDE
                         \3  = C
                         \4  = F
                         \5..\9  = error - no matching subexpression
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   The "i" flag indicates that the ERE matching SHALL be performed in a
   case-insensitive fashion.  Furthermore, any backref replacements MAY
   be normalized to lower case when the "i" flag is given.  This flag
   has meaning only when both the Application and Database define a
   character set where case insensitivity is valid.

   The first character in the substitution expression shall be used as
   the character that delimits the components of the substitution
   expression.  There must be exactly three non-escaped occurrences of
   the delimiter character in a substitution expression.  Since escaped
   occurrences of the delimiter character will be interpreted as
   occurrences of that character, digits MUST NOT be used as delimiters.
   Backrefs would be confused with literal digits were this allowed.
   Similarly, if flags are specified in the substitution expression, the
   delimiter character must not also be a flag character.

3.3 The Complete Algorithm

The following is the exact DDDS algorithm: 1. The First Well Known Rule is applied to the Application Unique String which produces a Key. 2. The Application asks the Database for the ordered set of Rules that are bound to that Key (see NOTE below on order details). 3. The Substitution Expression for each Rule in the list is applied, in order, to the Application Unique String until a non-empty string is produced. The position in the list is noted and the Rule that produced the non-empty string is used for the next step. If the next step rejects this rule and returns to this step then the Substitution Expression application process continues at the point where it left off. If the list is exhausted without a valid match then the application is notified that no valid output was available. 4. If the Service description of the rule does not meet the client's requirements, go back to step 3 and continue through the already retrieved list of rules. If it does match the client's requirements then this Rule is used for the next step. If and only if the client is capable of handling it and if it is deemed safe to do so by the Application's specification, the client may make a note of the current Rule but still return to step 3 as though it had rejected it. In either case, the output of this step is one and only one Rule.
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   5.  If the Flags part of the Rule designate that this Rule is NOT
       Terminal, go back to step 2 with the substitution result as the
       new Key.

   6.  Notify the Application that the process has finished and provide
       the Application with the Flags and Services part of the Rule
       along with the output of the last Substitution Expression.

   NOTE 1: In some applications and/or databases the result set can
   express the case where two or more Rules are considered equal.  These
   Rules are treated as the same Rule, each one possibly having a
   Priority which is used to communicate a preference for otherwise
   equivalent Rules.  This allows for Rules to act as fallbacks for
   others.  It should be noted that this is a real Preference, not a
   load balancing mechanism.  Applications should define the difference

   NOTE 2: Databases may or may not have rules that determine when and
   how records within that database expire (expiration dates, times to
   live, etc.).  These expiration mechanisms must be adhered to in all
   cases.  Specifically, since the expiration of a databases record
   could cause a new Rule to be retrieved that is inconsistent with
   previous Rules, while in the algorithm any attempts to optimize the
   process by falling back to previous keys and Rules MUST ensure that
   no previously retrieved Rule has expired.  If a Rule has expired then
   the application MUST start over at Step 1.

4. Specifying an Application

In order for this algorithm to have any usefulness, a specification must be written describing an application and one or more databases. In order to specify an application the following pieces of information are required: Application Unique String: This is the only string that the rewrite rules will apply to. The string must have some regular structure and be unique within the application such that anyone applying Rules taken from the same Database will end up with the same Keys. For example, the URI Resolution application defines the Application Unique String to be a URI. No application is allowed to define an Application Unique String such that the Key obtained by a rewrite rule is treated as the Application Unique String for input to a new rule. This leads to sendmail style rewrite rules which are fragile and error prone. The one single exception to this is when an Application defines some flag or state where the rules for that application are
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      suspended and a new DDDS Application or some other arbitrary set
      of rules take over.  If this is the case then, by definition, none
      of these rules apply.  One such case can be found in the URI
      Resolution application which defines the 'p' flag which states
      that the next step is 'protocol specific' and thus outside of the
      scope of DDDS.

   First Well Known Rule:
      This is the first rule that, when applied to the Application
      Unique String, produces the first valid Key.  It can be expressed
      in the same form as a Rule or it can be something more complex.
      For example, the URI Resolution application might specify that the
      rule is that the sequence of characters in the URI up to but not
      including the first colon (the URI scheme) is the first Key.

   Valid Databases:
      The application can define which Databases are valid.  For each
      Database the Application must define how the First Well Known
      Rule's output (the first Key) is turned into something that is
      valid for that Database.  For example, the URI Resolution
      application could use the Domain Name System (DNS) as a Database.
      The operation for turning this first Key into something that was
      valid for the database would be to to turn it into some DNS-valid
      domain-name.  Additionally, for each Database an Application
      defines, it must also specify what the valid character sets are
      that will produce the correct Keys.  In the URI Resolution example
      shown here, the character set of a URI is 7 bit ASCII which
      matches fairly well with DNS's 8 bit limitation on characters in
      its zone files.

   Expected Output:
      The Application must define what the expected output of the
      Terminal Rule should be.  For example, the URI Resolution
      application is concerned with finding servers that contain
      authoritative data about a given URI.  Thus the output of the
      terminal rule would be information (hosts, ports, protocols, etc.)
      that would be used to contact that authoritative server.

   In the past there has been some confusion concerning load balancing
   and the use of the DDDS 'Priority'.  Applications should be aware
   that the Priority of a given rule is just that:  a way of specifying
   that one rule is "better, faster, cheaper" than another.  If an
   application needs some method of allowing a client to load balance
   between servers (i.e., weighted random selection, etc.) then it
   should do so outside the DDDS algorithm.  For example, Applications
   that make use of the DNS Database may use the SRV record as a way of
   signifying that a particular service is actually handled by several
   hosts cooperating with each other.  The difference being that load
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   balancing is done between hosts that are identical to each other
   where as DDDS is concerned with delegation paths that have some
   particular feature set or administrative domain.

5. Specifying A Database

Additionally, any Application must have at least one corresponding Database from which to retrieve the Rules. It is important to note that a given Database may be used by more than one Application. If this is the case, each rule must be use some combination of its Services and/or substitution expression to match only those Application Unique Strings for which it is valid. A Database specification must include the following pieces of information: General Specification: The Database must have a general specification. This can reference other standards (SQL, DNS, etc.) or it can fully specify a novel database system. This specification MUST be clear as to what allowed character sets exist in order to know in which character set the Keys and Rules are encoded. Lookup Procedure: This specifies how a query is formulated and submitted to the database. In the case of databases that are used for other purposes (such as DNS), the specification must be clear as to how a query is formulated specifically for the database to be a DDDS database. For example, a DNS based Database must specify which Resource Records or Query Types are used. Key Format: If any operations are needed in order to turn a Key into something that is valid for the database then these must be clearly defined. For example, in the case of a DNS database, the Keys must be constructed as valid domain-names. Rule Format: The specification for the output format of a rule. Rule Insertion Procedure: A specification for how a Rule is inserted into the database. This can include policy statements about whether or not a Rule is allowed to be added.
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   Rule Collision Avoidance:
      Since a Database may be used by multiple Applications (ENUM and
      URI Resolution for example), the specification must be clear about
      how rule collisions will be avoided.  There are usually two
      methods for handling this: 1) disallow one key from being valid in
      two different Applications; 2) if 1 isn't possible then write the
      substitution expression such that the regular expression part
      contains enough of the Application Unique String as part of its
      match to differentiate between the two Applications.

6. Examples

The examples given here are for pedagogical purposes only. They are specifically taken from ficticious applications that have not been specified in any published document.

6.1 An Automobile Parts Identification System

In this example imagine a system setup where all automobile manufacturers come together and create a standardized part numbering system for the various parts (nuts, bolts, frames, instruments, etc.) that make up the automobile manufacturing and repair process. The problem with such a system is that the auto industry is a very distributed system where parts are built by various third parties distributed around the world. In order to find information about a given part a system must be able to find out who makes that part and contact them about it. To facilitate this distributed system the identification number assigned to a part is assigned hierarchically such that the first 5 digits make up a parts manufacturer ID number. The next 3 digits are an auto line identifier (Ford, Toyota, etc.). The rest of the digits are assigned by the parts manufacturer according to rules that the manufacturer decides. The auto industry decides to use the DDDS to create a distributed information retrieval system that routes queries to the actual owner of the data. The industry specifies a database and a query syntax for retrieving rewrite rules (the APIDA Network) and then specifies the Auto Parts Identification DDDS Application (APIDA). The APIDA specification would define the following: o Application Unique String: the part number. o First Well Known Rule: take the first 5 digits (the manufacturers ID number) and use that as the Key.
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   o  Valid Databases: The APIDA Network.

   o  Expected Output: EDIFAC information about the part.

   The APIDA Network Database specification would define the following:

   o  General Specification: a network of EDI enabled databases and
      services that, when given a subcomponent of a part number will
      return an XML encoded rewrite rule.

   o  Lookup Procedure: following normal APIDA Network protocols, ask
      the network for a rewrite rule for the Key.

   o  Key Format: no conversion is required.

   o  Rule Format: see APIDA Network documentation for the XML DTD.

   o  Rule Insertion Procedure: determined by the authority that has
      control over each section of the part number.  I.e., in order to
      get a manufacturer ID you must be a member of the Auto Parts
      Manufacturers Association.

   In order to illustrate how the system would work, imagine the part
   number "4747301AB7D".  The system would take the first 5 digits,
   '47473' and ask the network for that Rewrite Rule.  This Rule would
   be provided by the parts manufacturers database and would allow the
   manufacturer to either further sub-delegate the space or point the
   querier directly at the EDIFAC information in the system.

   In this example let's suppose that the manufacturer returns a Rule
   that states that the next 3 digits should be used as part of a query
   to their service in order to find a new Rule.  This new Rule would
   allow the parts manufacturer to further delegate the query to their
   parts factories for each auto line.  In our example part number the
   number '01A' denotes the Toyota line of cars.  The Rule that the
   manufacturer returns further delegates the query to a supply house in
   Japan.  This rule also denotes that this Rule is terminal and thus
   the result of this last query will be the actual information about
   the part.
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6.2 A Document Identification Service

This example is very similar to the last since the documents in this system can simply be thought of as the auto part in the last example. The difference here is that the information about the document is kept very close to the author (usually on their desktop). Thus there is the probability that the number of delegations can be very deep. Also, in order to keep from having a large flat space of authors, the authors are organized by organizations and departments. Let's suppose that the Application Unique String in this example looks like the following: <organization>-<department>-<author>:<project>-<bookcase>-<book> The Application specification would look like this: o Application Unique String: the Document ID string given above. o First Well Known Rule: the characters up to but not including the first '-' is treated as the first Key. o Valid Databases: the DIS LDAP Directory. o Expected Output: a record from an LDAP server containing bibliographic information about the document in XML. The Database specification for the DIS LDAP Directory would look like this: o General Specification: the Database uses the LDAP directory service. Each LDAP server has a record that contains the Rewrite Rule. Rules refer to other LDAP servers using the LDAP URL scheme. o Lookup Procedure: using standard LDAP queries, the client asks the LDAP server for information about the Key. o Key Format: no conversion is necessary. o Rule Format: See the LDAP Rewrite Rule specification. o Rule Insertion Procedure: See the procedures published by the entity that has authority over that section of the DIS tree. The first section, the organization, is owned by the DIS Agency.
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   In this example, the first lookup is for the organization's Rule.  At
   that point the organization may point the client directly at some
   large, organization wide database that contains the expected output.
   Other organizations may decentralize this process so that Rules end
   up delegating the query all the way down to the authors document
   management environment of choice.

7. Security Considerations

This document simply defines the DDDS algorithm and thus, by itself, does not imply any security issues. It is when this algorithm is coupled with a Database and an Application that security considerations can be known well enough to enumerate them beyond simply saying that dynamic delegation points are a possible point of attack.

8. IANA Considerations

This document does not create any requirements on the IANA. Database and Application specifications may have considerable requirements but they cannot be enumerated here.


[1] Mealling, M., "Dynamic Delegation Discovery System (DDDS) Part One: The Comprehensive DDDS", RFC 3401, October 2002. [2] Mealling, M., "Dynamic Delegation Discovery System (DDDS) Part Two: The Algorithm", RFC 3402, October 2002. [3] Mealling, M., "Dynamic Delegation Discovery System (DDDS) Part Three: The Domain Name System (DNS) Database", RFC 3403, October 2002. [4] Mealling, M., "Dynamic Delegation Discovery System (DDDS) Part Four: The Uniform Resource Identifiers (URI) Resolution Application", RFC 3404, October 2002. [5] Mealling, M., "Dynamic Delegation Discovery System (DDDS) Part Five: URI.ARPA Assignment Procedures", RFC 3405, October 2002. [6] Moats, R., "URN Syntax", RFC 2141, May 1997. [7] Sollins, K., "Architectural Principles of Uniform Resource Name Resolution", RFC 2276, January 1998.
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   [8]  The Institute of Electrical and Electronics Engineers, "IEEE
        Standard for Information Technology - Portable Operating System
        Interface (POSIX) - Part 2: Shell and Utilities (Vol. 1)", IEEE
        Std 1003.2-1992, ISBN 1-55937-255-9, January 1993.

   [9]  Mealling, M. and R. Daniel, "The Naming Authority Pointer
        (NAPTR) DNS Resource Record", RFC 2915, August 2000.

   [10] Faltstrom, P., "E.164 number and DNS", RFC 2916, September

   [11] Daniel, R. and M. Mealling, "Resolution of Uniform Resource
        Identifiers using the Domain Name System", RFC 2168, June 1997.

Author's Address

Michael Mealling VeriSign 21345 Ridgetop Circle Sterling, VA 20166 US EMail: URI:
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Full Copyright Statement

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