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A Policy-Driven Service Composition Method for Adaptation in Pervasive Computing Environment

机译:普适计算环境中一种适应策略的服务组合方法

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摘要

Service composition allows distributed application, such as multimedia application, to be composed from atomic service units and to adapt dynamically to users' requirements and environment conditions in pervasive computing system. It augments the adaptation action space for the application of pervasive computing. According to the multidimensional QoS (Quality of Service) requirement of pervasive computing system, we proposed a comprehensive service composition method to enhance the capability of application adaptation. First, according to a hierarchy policy model and a policy specification language, strengthened by event calculus, service discovery policy action integrating the situation of user, application, environment and resource can be triggered. Secondly, the proposed physical space model can support the location-aware service discovery and explicit range query to improve the efficiency of the query. To the end, an adaptation policy evaluation model is utilized to maximize an evaluation criterion-quality of satisfaction of users and environment by optimizing the optional service selection and the composition path. Through experiment and discussion of the algorithm, the paper further illustrates the great potential advantage of the solutionrnto service composition.
机译:服务组合允许分布式应用程序(例如多媒体应用程序)由原子服务单元组成,并动态地适应普适计算系统中用户的需求和环境条件。它为普适计算的应用扩展了适应动作空间。根据普适计算系统的多维QoS(服务质量)要求,提出了一种综合的服务组合方法,以提高应用程序的适应能力。首先,根据层级策略模型和策略规范语言,通过事件演算的增强,可以触发结合用户,应用程序,环境和资源状况的服务发现策略动作。其次,所提出的物理空间模型可以支持位置感知服务发现和显式范围查询,以提高查询效率。最后,通过优化可选服务选择和组合路径,利用适应策略评估模型来最大化用户和环境满意度的评估标准质量。通过实验和对该算法的讨论,本文进一步说明了服务组合解决方案的巨大潜在优势。

著录项

  • 来源
    《The Computer journal》 |2010年第2期|152-165|共14页
  • 作者单位

    Key Laboratory of Pervasive Computing, Ministry of Education Department of CS, Tsinghua University, Beijing, P.R. China;

    Key Laboratory of Pervasive Computing, Ministry of Education Department of CS, Tsinghua University, Beijing, P.R. China;

    Key Laboratory of Pervasive Computing, Ministry of Education Department of CS, Tsinghua University, Beijing, P.R. China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    policy-driven method; pervasive computing; service discovery; adapation; service composition;

    机译:政策驱动的方法;普适计算;服务发现;适应服务组成;

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