Accelerating conversations for fault-tolerant concurrent software

Lixin Gao, E. Fernández
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Abstract

Concurrency adds an additional dimension to the problem of developing fault-tolerant software. One of the fundamental approaches for this purpose is the 'conversation'. However, the need for synchronization at the exit from a conversation has a negative effect on performance. The scheme proposed in this paper accelerates conversations by using a special process-a recovery metaprogram (RMP)-which is executed on a separate layer of abstraction-the recovery layer. The RMP, by having access to the history of all interprocess communications, can allow a process that passes its acceptance test to proceed conditionally. If the conditional or any of the other processes does not pass its acceptance test, the conversation must recover and any interactions of the conditional process must be erased. Also, processes which have not reached their acceptance tests can trigger recovery immediately, without waiting for the other processes to get to their individual acceptance tests. This paper presents an architecture and a set of algorithms to implement these ideas.<>
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为容错并发软件加速对话
并发性给开发容错软件的问题增加了一个额外的维度。实现这一目的的基本方法之一是“对话”。但是,在会话退出时需要同步会对性能产生负面影响。本文提出的方案通过使用一个特殊的进程——恢复元程序(RMP)来加速会话,该进程在一个单独的抽象层——恢复层上执行。RMP通过访问所有进程间通信的历史记录,可以允许通过验收测试的进程有条件地继续进行。如果条件流程或任何其他流程没有通过验收测试,则必须恢复对话,并且必须删除条件流程的任何交互。此外,尚未达到验收测试的流程可以立即触发恢复,而无需等待其他流程达到各自的验收测试。本文提出了一个体系结构和一套算法来实现这些思想。
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