SGPM:用于事务处理的协程框架

IF 2 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS Parallel Computing Pub Date : 2022-12-01 DOI:10.1016/j.parco.2022.102980
Xinyuan Wang, Hejiao Huang
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引用次数: 0

摘要

协程能够提高程序并发性和处理器核心利用率。然而,为了适应协程到事务模型,现有的协程包有以下缺点:(1)当调度程序线程和工作线程之间的负载不平衡时,额外的调度程序线程会导致同步开销。(2)定期交换协程以防止死锁,这将增加挂起的事务,从而增加冲突率。(3)仅支持swap-out功能(yield、await等),无法灵活控制事务的swap-in时间。在本文中,我们提出了SGPM,一个用于事务处理的协同程序框架。为了适应协程到事务模型,SGPM具有以下属性:首先,它消除了调度器线程和周期性的协程切换。其次,它提供了多种协程调度策略,使所有类型的并发控制协议在SGPM上合理运行。我们在SGPM上实现了8个众所周知的并发控制,特别地,我们使用SGPM来优化其中4个等待并发控制的性能,包括2PL、SS2PL、Calvin和EWV。实验结果表明,经过SGPM优化后,2PL和SS2PL的性能优于OCC和MVCC, Calvin和EWV的吞吐量也分别提高了1.2倍和1.3倍。
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SGPM: A coroutine framework for transaction processing

Coroutine is able to increase program concurrency and processor core utilization. However, for adapting the coroutine-to-transaction model, the existing coroutine package has the following disadvantages: (1) Additional scheduler threads incur synchronization overhead when the load between scheduler threads and worker threads is unbalanced. (2) Coroutines are swapped out periodically to prevent deadlocks, which will increase the conflict rate by adding suspended transactions. (3) Supporting only the swap-out function (yield, await, etc.) cannot flexibly control the transaction swap-in time. In this paper, we present SGPM, a coroutine framework for transaction processing. To adapt to the coroutine-to-transaction model, SGPM has the following properties: First, it eliminates scheduler threads and the periodic coroutine switch. Second, it provides a variety of coroutine scheduling strategies to make all types of concurrency control protocols run on SGPM reasonably. We implement eight well-known concurrency control on SGPM and, particularly, we use SGPM to optimize the performance of four wound-wait concurrency control among them, including 2PL, SS2PL, Calvin, and EWV. The experiment result demonstrates that after SGPM optimization 2PL and SS2PL outperform OCC and MVCC, and the throughput of Calvin and EWV is also improved by 1.2x and 1.3x respectively.

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来源期刊
Parallel Computing
Parallel Computing 工程技术-计算机:理论方法
CiteScore
3.50
自引率
7.10%
发文量
49
审稿时长
4.5 months
期刊介绍: Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems. Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results. Particular technical areas of interest include, but are not limited to: -System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing). -Enabling software including debuggers, performance tools, and system and numeric libraries. -General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems -Software engineering and productivity as it relates to parallel computing -Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism -Performance measurement results on state-of-the-art systems -Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures. -Parallel I/O systems both hardware and software -Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications
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