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K. P. Birman (Cornell)Network Working Group T. A. Joseph (Cornell)Request for Comments: 992 November 1986 On Communication Support for Fault Tolerant Process Groups K. P. Birman and T. A. Joseph Dept. of Computer Science, Cornell University Ithaca, N.Y. 14853 607-255-91991. Status of this Memo. This memo describes a collection of multicast communication primi- tives integrated with a mechanism for handling process failure and recovery. These primitives facilitate the implementation of fault- tolerant process groups, which can be used to provide distributed services in an environment subject to non-malicious crash failures. Unlike other process group approaches, such as Cheriton's "host groups" (RFC's 966, 988, [Cheriton]), our approach provides powerful guarantees about the behavior of the communication subsystem when process group membership is changing dynamically, for example due to process or site failures, recoveries, or migration of a process from one site to another. Our approach also addresses delivery ordering issues that arise when multiple clients communicate with a process group concurrently, or a single client transmits multiple multicast messages to a group without pausing to wait until each is received. Moreover, the cost of the approach is low. An implementation is be- ing undertaken at Cornell as part of the ISIS project. Here, we argue that the form of "best effort" reliability provided by host groups may not address the requirements of those researchers who are building fault tolerant software. Our basic premise is that re- liable handling of failures, recoveries, and dynamic process migra- tion are important aspects of programming in distributed environ- ments, and that communication support that provides unpredictable behavior in the presence of such events places an unacceptable burden of complexity on higher level application software. This complexity does not arise when using the fault-tolerant process group alterna- tive. This memo summarizes our approach and briefly contrasts it with other process group approaches. For a detailed discussion, together with figures that clarify the details of the approach, readers are re- ferred to the papers cited below. Distribution of this memo is unlimited.Birman & Joseph [Page 1]RFC 992 November 19862. Acknowledgments This memo was adopted from a paper presented at the Asilomar workshop on fault-tolerant distributed computing, March 1986, and summarizes material from a technical report that was issued by Cornell Universi- ty, Dept. of Computer Science, in August 1985, which will appear in ACM Transactions on Computer Systems in February 1987 [Birman-b]. Copies of these paper, and other relevant papers, are available on request from the author: Dept. of Computer Science, Cornell Universi- ty, Ithaca, New York 14853. (birman@gvax.cs.cornell.edu). The ISIS project also maintains a mailing list. To be added to this list, contact M. Schmizzi (schiz@gvax.cs.cornell.edu). This work was supported by the Defense Advanced Research Projects Agency (DoD) under ARPA order 5378, Contract MDA903-85-C-0124, and by the National Science Foundation under grant DCR-8412582. The views, opinions and findings contained in this report are those of the au- thors and should not be construed as an official Department of De- fense position, policy, or decision.3. Introduction At Cornell, we recently completed a prototype of the ISIS system, which transforms abstract type specifications into fault-tolerant distributed implementations, while insulating users from the mechan- isms by which fault-tolerance is achieved. This version of ISIS, re- ported in [Birman-a], supports transactional resilient objects as a basic programming abstraction. Our current work undertakes to pro- vide a much broader range of fault-tolerant programming mechanisms, including fault-tolerant distributed bulletin boards [Birman-c] and fault-tolerant remote procedure calls on process groups [Birman-b]. The approach to communication that we report here arose as part of this new version of the ISIS system. Unreliable communication primitives, such as the multicast group com- munication primitives proposed in RFC's 966 and 988 and in [Cheri- ton], leave some uncertainty in the delivery status of a message when failures and other exceptional events occur during communication. Instead, a form of "best effort" delivery is provided, but with the possibility that some member of a group of processes did not receive the message if the group membership was changing just as communica- tion took place. When we tried to use this sort of primitive in our original work on ISIS, which must behave reliably in the presence of such events, we had to address this aspect at an application level. The resulting software was complex, difficult to reason about, and filled with obscure bugs, and we were eventually forced to abandon the entire approach as infeasible. A wide range of reliable communication primitives have been proposed in the literature, and we became convinced that by using them, the complexity of our software could be greatly reduced. These rangeBirman & Joseph [Page 2]RFC 992 November 1986 from reliable and atomic broadcast [Chang] [Cristian] [Schneider] to Byzantine agreement [Strong]. For several reasons, however, the ex- isting work does not solve the problem at hand. The most obvious is that they do not provide a mechanism for sending a message to all the members of a group when the membership is changing dynamically (the "group addressing" problem). In addition, one can identify delivery ordering issues and questions regarding the detection of communica- tion failures that should be handled within the broadcast mechanism. These motivate a careful reexamination of the entire reliable broad- cast problem. The multicast primitives we report here are designed to respect several sorts of ordering constraints, and have cost and latency that varies depending on the nature of the constraint required [Birman-b] [Joseph-a] [Joseph-b]. Failure and recovery are integrated into the communication subsystem by treating these events as a special sort of multicast issued on behalf of a process that has failed or recovered. The primitives are presented in the context of fault tolerant process groups: groups of processes that cooperate to implement some distri- buted algorithm or service, and which need to see consistent order- ings of system events in order to achieve mutually consistent behavior. Such groups are similar to the host groups of the V system and the ones described in RFC's 966 and 988, but provide guarantees of consistency in just the situations where a host group provides a "best effort" delivery which may sometimes be erroneous. It is helpful to think of our primitives as providing a logical or "virtual" form of reliability: rather than addressing physical delivery issues, they ensure that a client will never observe a sys- tem state "inconsistent" with the assumption that reliable delivery has occurred. Readers familiar with serializability theory may want to think of this as a weaker analog: in serializability, one allows interleaved executions of operations provided that the resulting sys- tem state is consistent with the assumption that execution was sequential. Similarly, reliable communication primitives permit de- viations from the reliable delivery abstraction provided that the resulting system state is indistinguishable from one in which reli- able delivery actually did occur. Using our primitives, the ISIS system achieved both high levels of concurrency and suprisingly good performance. Equally important, its structure was made suprisingly simple, making it feasible to reason about the correctness of the algorithms that are needed to maintain high availability even when failures, recoveries, or process migra- tion occurs. More recently, we have applied the same approach to a variety of other problems in distributed computing, and even designed a consistent, fault tolerant, distributed bulletin board data struc- ture (a generalized version of the blackboards used in artificial in- telligence programs), with equally good results [Birman-c]. Thus, we feel that the approach has been shown to work in a variety of set- tings where unreliable primitives simply could not be used.Birman & Joseph [Page 3]RFC 992 November 1986 In the remainder of this memo we summarize the issues and alterna- tives that the designer of a distributed system is presented with, focusing on two styles of support for fault-tolerant computing: re- mote procedure calls coupled with a transactional execution facility, such as is used in the ARGUS system [Liskov], and the fault-tolerant process group mechanism mentioned above. We argue that transactional interactions are too restrictive to support the sort of mechanism needed, and then show how our primitives can be used to provide such a mechanism. We conclude by speculating on future directions in which this work might be taken.4. Issues in fault-tolerance The difficulty of constructing fault-tolerant distributed software can be traced to a number of interrelated issues. The list that fol- lows is not exhaustive, but attempts to touch on the principal con- siderations that must be addressed in any such system: [1]Synchronization. Distributed systems offer the potential for large amounts of concurrency, and it is usually desirable to operate at as high a level of concurrency as possible. However, when we move from a sequential execution environment to a con- current one, it becomes necessary to synchronize actions that may conflict in their access to shared data or entail communication with overlapping sets of processes. Thus, a mechanism is needed for ordering conflicting events. Additional problems that can arise in this context include deadlock avoidance or detection, livelock avoidance, etc. [2]Failure detection. It is usually necessary for a fault- tolerant application to have a consistent picture of which com- ponents fail, and in what order. Timeout, the most common mechan- ism for detecting failure, is unsatisfactory, because there are many situations in which a healthy component can timeout with respect to one component without this being detected by some another. Failure detection under more rigorous requirements requires an agreement protocol that is related to Byzantine agree- ment [Strong] [Hadzilacos]. Regardless of how this problem is solved, some sort of reliable failure detection mechanism will be needed in any fault-tolerant distributed system. [3] Consistency. When a group of processes cooperate in a distri- buted system, it is necessary to ensure that the operational processes have consistent views of the state of the group as a whole. For example, if process p believes that some property A holds, and on the basis of this interacts with process q, the state of q should not contradict the fact that p believes A to be true. This problem is closely related to notions of knowledge and consistency in distributed systems [Halpern] [Lamport]. In our context, A will often be the assertion that a multicast has been received by q, or that q saw some sequence of events occur in theBirman & Joseph [Page 4]RFC 992 November 1986 same order as did p. Thus, it is necessary to be able to specify the precise consistency constraints on a distributed software sys- tem, and system support should be available to facilitate the attainment of these constraints. [4] Serializability. Many distributed systems are partitioned into data manager processes, which implement shared variables, and transaction manager processes, which issue requests to data managers [Bernstein]. If transaction managers can execute con- currently, it is desirable to ensure that transactions produce serializable outcomes [Eswaren] [Papadimitrou]. Serializability is increasingly viewed as an important property in "object- oriented" distributed systems that package services as abstract objects with which clients communicate by remote procedure calls (RPC). On the other hand, there are systems for which serializa- bility is either too strong a constraint, or simply inappropriate. Thus, one needs a way to achieve serializability in applications where it will be needed, without imposing system-wide restrictions that would prevent the design of software subsystems for which serializability is not needed. Jointly, these problems render the design of fault-tolerant distri- buted software daunting in the absence of adequate support. The correctness of any proposed design and of its implementation become serious, if not insurmountable, concerns. In Sec. 7, we will show how the primitives of Sec. 6 provide simple ways to overcome all of these issues.5. Existing alternatives
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