基于遗传算法的事务感知和qos感知Web服务工作流组合自动化研究

Yang Syu, Yong-Yi Fanjiang, J. Kuo, Shang-Pin Ma
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引用次数: 31

摘要

由Web服务实现的面向服务的体系结构是当今最流行和最有前途的软件开发范式之一,它带来了一些具有挑战性的研究问题。最重要的问题之一是如何在设计阶段自动化web服务组合。目前,服务组合问题的研究主要集中在动态工作流组合、qos感知和事务感知服务选择三个方面。本文研究了根据用户的功能需求,根据Web服务的事务属性和服务质量特征,将Web服务自动组合成可执行工作流的问题。提出了一种通过遗传算法自动组合的方法,自动同时满足用户的功能需求、QoS标准和事务需求。给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Genetic Algorithm Approach to Automating Workflow Composition for Web Services with Transactional and QoS-Awareness
Service-oriented architecture implemented by Web Services is one of the most popular and promising software development paradigm that has brought some challenging research issues today. One of the most important issues is how to automate web service composition at design phase. Currently, there are many researchers concentrating on service composition problem that can be partitioned into three parts, dynamic workflow composition, QoS-aware, and transaction-aware service selection. This paper addresses the issue of automatic composing Web Services into an executable workflow not only according to user¡¦s functional requirements but also to their transactional properties and QoS characteristics. We propose an automatic composition approach through genetic algorithm to satisfy user¡¦s functional requirements, QoS criteria, and transactional requirements automatically at the same time. Experimental results are presented.
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