分布式工作流系统中基于缓存的执行请求调度方法

Bo Lv, Weilong Ding, Ji Liu
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引用次数: 0

摘要

工作流管理系统(Workflow management system, WfMS)通常部署在分布式架构中的云环境中,流程任务的执行需要工作流引擎解析其缓存中的流程定义。然而,目前的WfMS很少考虑缓存命中问题,这导致了WfMS的重复解析,降低了请求响应时间和服务质量。提出了一种基于缓存机制的任务执行调度方法。该方法能够将每个任务的请求分配到最匹配的worker上,并综合利用worker或数据库中的缓存。通过实际场景的实验,与商业中常用的两种传统方法进行比较,证明了该方法提高了缓存命中率,缩短了响应时间,提高了系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cache-based Executive Request Dispatching Method in The Distributed Workflow System
A Workflow management system (WfMS) is usually deployed in a Cloud environment in a distributed architecture, and the execution of the process task requires the workflow engine to parse the process definition in its cache. However, the current WfMS seldom considers the problem of the cache hit, which leads to repeated parse and decreases request response time and service quality of WfMS. A task execution dispatching method is proposed in this paper based on cache mechanism. The method enables each task’s requests to be dispatched to the best matching worker, and comprehensively utilizes the cache in the worker or the database. After experiments of practical scenes, compared with two traditional ones commonly used in business, our method is proved to improve the cache hit rate, reduces the response time, and improves system performance.
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