Decentralized data dependency analysis for concurrent process execution

2009 13th Enterprise Distributed Object Computing Conference Workshops Pub Date : 2009-11-13 DOI:10.1109/EDOCW.2009.5332013

S. Urban, Ziao Liu, Le Gao, E. E. Whitaker

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引用次数: 13

Abstract

This paper presents our results with the investigation of decentralized data dependency analysis among concurrently executing processes in a service-oriented environment. Distributed Process Execution Agents (PEXAs) are responsible for controlling the execution of processes that are composed of web services. PEXAs are also associated with specific distributed sites for the purpose of capturing data changes that occur at those sites in the context of service executions using Delta-Enabled Grid Services. PEXAs then exchange this information with other PEXAs to dynamically discover data dependencies that can be used to enhance recovery activities for concurrent processes that execute with relaxed isolation properties. This paper outlines the functionality of PEXAs, describing the data structures and communication mechanisms that are used to support decentralized construction of distributed process dependency graphs, demonstrating a more dynamic and intelligent approach to identifying how the failure of one process can potentially affect other concurrently executing processes.

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用于并发进程执行的分散数据依赖分析

本文介绍了我们对面向服务的环境中并发执行进程之间的分散数据依赖分析的研究结果。分布式流程执行代理(pexa)负责控制由web服务组成的流程的执行。pexa还与特定的分布式站点相关联，以便在使用启用delta的网格服务执行服务的上下文中捕获发生在这些站点上的数据更改。然后，pexa与其他pexa交换此信息，以动态发现可用于增强使用宽松隔离属性执行的并发进程的恢复活动的数据依赖项。本文概述了pexa的功能，描述了用于支持分布式流程依赖关系图的分散构造的数据结构和通信机制，展示了一种更动态和智能的方法来识别一个流程的失败如何潜在地影响其他并发执行的流程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2009 13th Enterprise Distributed Object Computing Conference Workshops

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