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Adaptive component composition and load balancing for distributed stream processing applications

机译:分布式流处理应用程序的自适应组件组成和负载平衡

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摘要

Providing real-time and QoS support to stream processing applications running on top of large-scale overlays is challenging due to the inherent heterogeneity and resource limitations of the nodes and the multiple QoS demands of the applications that must concurrently be met. In this paper we propose an integrated adaptive component composition and load balancing mechanism that (1) allows the composition of distributed stream processing applications on the fly across a large-scale system, while satisfying their QoS demands and distributing the load fairly on the resources, and (2) adapts dynamically to changes in the resource utilization or the QoS requirements of the applications. Our extensive experimental results using both simulations as well as a prototype deployment illustrate the efficiency, performance and scalability of our approach.
机译:由于节点固有的异构性和资源限制以及必须同时满足的应用程序的多个QoS要求,因此要为在大规模覆盖之上运行的流处理应用程序提供实时和QoS支持具有挑战性。在本文中,我们提出了一种集成的自适应组件组成和负载平衡机制,该机制(1)允许在大型系统中动态组成分布式流处理应用程序,同时满足它们的QoS要求并在资源上公平地分配负载, (2)动态适应应用程序的资源利用率或QoS要求的变化。我们通过仿真和原型部署获得的广泛实验结果证明了我们方法的效率,性能和可扩展性。

著录项

  • 来源
    《Peer-to-peer networking and applications》 |2009年第1期|60-74|共15页
  • 作者单位

    Department of Computer Science & Engineering, University of California, Riverside, Riverside CA 92521, USA;

    Department of Computer Science & Engineering, University of California, Riverside, Riverside CA 92521, USA;

    Department of Computer Science & Engineering, University of California, Riverside, Riverside CA 92521, USA Department of Informatics, Athens University of Economics and Business, Athens, Greece;

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

    P2P; stream processing; QoS;

    机译:P2P;流处理;服务质量;

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