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A new distributed optimistic concurrency control method and a comparison of its performance with two-phase locking

机译:一种新的分布式乐观并发控制方法及其性能与两阶段锁定的比较

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A distributed optimistic concurrency control (OCC) method followed by locking, such that locking is an integral part of distributed validation and two-phase commit is presented. This OCC method ensures that a transaction failing its validation will not be reexecuted more than once, in general. Furthermore, deadlocks, which are difficult to handle in a distributed environment, are avoided by serializing lock requests. Implementation details are outlined, and the performance of the schemes is compared with distributed two-phase locking (2PL) through a detailed simulation, which incorporates queueing effects at the devices of the computer systems, buffer management, concurrency control, and commit processing. It is shown that in the case of higher data contention levels, the hybrid OCC method allows a much higher maximum transaction throughput than distributed 2PL. The performance of the method with respect to variable-size transactions is reported. It is shown that by restricting the number of restarts to one, the performance achieved for variable-size transactions is comparable to fixed-size transactions with the same mean size.
机译:紧随其后的是锁定的分布式乐观并发控制(OCC)方法,因此锁定是分布式验证的组成部分,并提出了两阶段提交。通常,此OCC方法可确保未通过验证的事务不会被重新执行一次以上。此外,通过序列化锁定请求避免了在分布式环境中难以处理的死锁。概述了实现细节,并通过详细的仿真将方案的性能与分布式两阶段锁定(2PL)进行了比较,该仿真结合了计算机系统设备的排队效果,缓冲区管理,并发控制和提交处理。结果表明,在较高的数据争用级别的情况下,混合OCC方法所允许的最大事务吞吐量要比分布式2PL高得多。报告了该方法相对于可变大小交易的性能。结果表明,通过将重新启动次数限制为一次,可变大小事务的性能可与具有相同平均大小的固定大小事务相媲美。

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