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QoS-Driven Grid Resource Selection Based on Novel Neural Networks

  • Xianwen Hao
  • Yu Dai
  • Bin Zhang
  • Tingwei Chen
  • Lei Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3947)

Abstract

The dynamics nature of grid environment brings challenges for applications to offer nontrivial QoS on distributed, heterogeneous resources. It’s a better way to select the suitable grid resources constrained by QoS. In this paper we propose the application QoS model and metrics as the standard of resource selection. We also give consideration of the existence of data dependence between the tasks composing an application and apply it to the QoS model. And we solve the resource selection problem efficiently using novel neural networks.

Keywords

Grid Resource Grid Environment Resource Selection Grid Application Multiple Criterion Decision Make 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xianwen Hao
    • 1
  • Yu Dai
    • 1
  • Bin Zhang
    • 1
  • Tingwei Chen
    • 1
  • Lei Yang
    • 1
  1. 1.College of Information Science and EngineeringNortheastern UniversityShenyangChina

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