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Efficient Web Service Composition via Knapsack-Variant Algorithm

机译:通过背包变异算法进行高效的Web服务组合

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摘要

Since the birth of web service composition, the minimization of the number of web services in the resulting composition while satisfying user requests has been a significant perspective of research. With the increase in the number of services released across the Internet, efficient algorithms for this research area are urgently required. In this paper, we present an efficient mechanism to solve the problem. For a given request, a service dependency graph is first generated with the relevant services selected from an external repository. Then, the searching process of the minimal composition over the graph is divided into several steps, and each search step is transformed into a dynamic knapsack problem by mapping services to items, the volume and cost of which are changeable, after which a knapsack-variant algorithm is applied to solve each problem in order. When the final search step has been completed, the minimal composition that satisfies the request can be obtained. Experiments on eight public datasets proposed for the Web Service Challenge 2008 demonstrate that the proposed mechanism outperforms the state-of-the-arts by generating solutions containing the same or a smaller number of services with much higher efficiency.
机译:自从Web服务组合诞生以来,在满足用户请求的同时,使组合中的Web服务数量最小化一直是研究的重要方向。随着通过Internet发布的服务数量的增加,迫切需要针对该研究领域的有效算法。在本文中,我们提出了一种有效的机制来解决该问题。对于给定的请求,首先使用从外部存储库中选择的相关服务生成服务依赖关系图。然后,将图上最小组成的搜索过程分为几个步骤,并且通过将服务映射到数量和成本可变的项目,将每个搜索步骤转换为动态背包问题,之后,背包变量应用算法按顺序解决每个问题。当最后的搜索步骤完成时,可以获得满足要求的最小组成。针对为Web Service Challenge 2008提议的八个公共数据集进行的实验表明,该提议的机制通过生成包含相同或更少数量的服务的解决方案而具有更高的效率,从而优于最新技术。

著录项

  • 来源
    《Services computing - SCC 2018》|2018年|51-66|共16页
  • 会议地点 Seattle(US)
  • 作者单位

    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China,Science and Technology on Information System Engineering Laboratory, Nanjing 210007, China;

    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;

    Science and Technology on Information System Engineering Laboratory, Nanjing 210007, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Web service composition; Minima; Efficient; Knapsack;

    机译:Web服务组成;极小值高效背包;

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