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P2PScheMe: a P2P scheduling mechanism for workflows in grid computing

机译:P2PScheMe:用于网格计算中的工作流的P2P调度机制

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摘要

Complex scientific experiments have a growing demand for computational resources, which are expensive to be acquired and maintained. Grid computing has emerged as the mainstream technology to solve this issue. Grids are also adequate for the execution of scientific workflows because they allow the use of heterogeneous and distributed resources. In spite of the progress in grid technology, there are challenges to overcome in workflow scheduling. For instance, centralized scheduling solutions may lead to performance degradation and to problems with scalability. Some scheduling approaches are partially distributed, keeping a few centralized components that may become bottlenecks. Other distributed solutions have a lack of flexibility in the definition of workflows, in which only the use of tasks as steps in the workflow is permitted not high level services. In this work, we present P2PScheMe, a scheduling mechanism for peer-to-peer execution of workflows based on the invocation of grid services. The proposal considers information regarding grid execution environment in order to allow workflow scheduling adaptation. This adaptation is performed according to user requirements of quality of service. In this paper, we describe how P2PScheMe works and provides a comparative analysis with existing solutions.
机译:复杂的科学实验对计算资源的需求不断增长,而获取和维护这些资源的成本很高。网格计算已成为解决此问题的主流技术。网格还适合执行科学的工作流程,因为它们允许使用异构和分布式资源。尽管网格技术取得了进步,但是在工作流调度中仍需要克服一些挑战。例如,集中式调度解决方案可能导致性能下降和可伸缩性问题。一些调度方法是部分分布式的,从而保留了一些可能成为瓶颈的集中式组件。其他分布式解决方案在工作流的定义方面缺乏灵活性,在这种情况下,仅允许将任务用作工作流中的步骤,而不能使用高级服务。在这项工作中,我们介绍了P2PScheMe,一种基于网格服务调用的工作流对等执行的调度机制。该提案考虑了有关网格执行环境的信息,以便允许工作流调度适应。根据用户对服务质量的要求来执行该适配。在本文中,我们描述了P2PScheMe的工作方式,并提供了与现有解决方案的比较分析。

著录项

  • 来源
    《Concurrency and computation: practice and experience》 |2012年第13期|p.1478-1496|共19页
  • 作者单位

    GREat - Group of Computer Networks, Software Engineering and Systems, Federal University Of Ceard (GREat-UFC), Fortaleza, CE, Brazil,Quixadd Campus Academic Department, UFC, Quixadd, CE, Brazil;

    GREat - Group of Computer Networks, Software Engineering and Systems, Federal University Of Ceard (GREat-UFC), Fortaleza, CE, Brazil,Department Of Computer Science, UFC, Fortaleza, CE, Brazil;

    GREat - Group of Computer Networks, Software Engineering and Systems, Federal University Of Ceard (GREat-UFC), Fortaleza, CE, Brazil,UFC Virtual Institute, Fortaleza, CE, Brazil;

    LNCC - National Laboratory for Scientific Computing, Petropolis, RJ, Brazil;

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

    grid computing; peer-to-peer; workflows;

    机译:网格计算;点对点;工作流程;

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