主动复制事务系统的主动推测协议

R. Palmieri, F. Quaglia, P. Romano
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引用次数: 5

摘要

在复制容错事务系统领域的最新进展是系统地使用乐观原子广播(OAB)组通信原语来协调副本。根据该方案,在就事务序列化顺序达成最终的全局协议之前,副本获得有关事务请求存在的信息。因此,可以利用推测处理方案来最大化本地计算和分布式协调活动之间的重叠。在本文中,我们介绍了ASAP,一种创新的激进投机协议,它具有以下两个特点:(A)它允许沿着不同的事务序列化顺序进行推测,从而在传入请求的乐观和最终交付序列不匹配的情况下增加本地处理和协调之间成功重叠的可能性;(B)它沿着冲突事务链进行推测,通过创新的并发控制机制跟踪事务之间的数据依赖关系;这允许及时确定可选择的序列化顺序,以便进行推测性的探索。通过在软件事务性内存系统环境下的模拟研究,我们表明ASAP可以独立于乐观和最终交付之间重新排序的可能性实现稳健的性能,提供显著的性能改进(将最大可持续吞吐量提高到2倍),相对于最先进的推测复制协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASAP: An Aggressive SpeculAtive Protocol for Actively Replicated Transactional Systems
Recent advances in the field of replicated, fault tolerant transactional systems make systematic use of Optimistic Atomic Broadcast (OAB) group communication primitives in order to coordinate the replicas. According to this scheme, the replicas gain information on the existence of transactional requests before a final and global agreement is reached on the transaction serialization order. Hence, speculative processing schemes can be exploited in order to maximize the overlap between local computation and distributed coordination activities. In this article we present ASAP, an innovative Aggressive SpeculAtive Protocol, which exhibits the following two peculiarities: (A) it allows speculating along different transaction serialization orders, thus increasing the likelihood of successful overlap between local processing and coordination in case of mismatches between the optimistic and the final delivery sequence of incoming requests, (B) it speculates along chains of conflicting transactions, tracking data dependencies among transactions via an innovative concurrency control mechanism, which allows determining in a timely fashion the alternative serialization orders to be speculatively explored. Via a simulation study in the context of Software Transactional Memory systems we show ASAP can achieve robust performance independently of the likelihood of reorder between optimistic and final deliveries, providing remarkable performance improvements (enhancing the maximum sustainable throughput up to a 2x factor) with respect to state of the art speculative replication protocols.
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