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An efficient causal logging scheme for recoverable distributed shared memory systems

机译:可恢复的分布式共享内存系统的有效因果日志记录方案

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This paper presents a causal logging scheme for the lazy release consistent distributed shared memory systems. Causal logging is a very attractive approach to provide the fault tolerance for the distributed systems, since it eliminates the need of stable logging. However, since the inter-process dependency must causally be transferred with the application messages, the excessive message overhead has been a drawback of this approach. In order to achieve an efficient implementation of causal logging for the distributed shared memory system, data structures and operations supported by the lazy release consistency memory model are utilized. As a result, the causal logging for the lazy release consistent distributed shared memory system can be implemented by adding the minimum information for the dependency tracking. To evaluate the performance of the proposed scheme, the proposed logging scheme has been implemented on top of the CVM distributed shared memory system. The experimental results show that the logging operation requires only 0.4-8.1% increases in the execution time.
机译:本文提出了一种用于延迟发布一致的分布式共享内存系统的因果日志记录方案。因果日志记录是为分布式系统提供容错能力的一种非常有吸引力的方法,因为它消除了稳定日志记录的需要。但是,由于进程间相关性必须与应用程序消息一起因果关系转移,因此过多的消息开销一直是此方法的缺点。为了对分布式共享内存系统实现因果日志的有效实现,利用了延迟释放一致性内存模型支持的数据结构和操作。结果,可以通过添加用于依赖性跟踪的最小信息来实现延迟发布一致的分布式共享内存系统的因果日志记录。为了评估所提出方案的性能,已在CVM分布式共享内存系统之上实施了所提出的日志记录方案。实验结果表明,日志记录操作仅需要执行时间增加0.4-8.1%。

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