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Reputation-Aware Contract-Supervised Grid Computing

  • Xiangli Qu
  • Nong Xiao
  • Guang Xiang
  • Xue-Jun Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3252)

Abstract

Service-related information available in current Grid is usually static, limited and self-stating. The lack of evaluation from service cooperators and record of past transactions hinders information sharing, isolates entities and separates related transactions. As a result, QoS (Quality of Service) and QoP (Quality of Protection) are hard to be guaranteed. Inspired by observations from human society, we propose a reputation-aware contract-supervised Grid computing model. The adoption of reputation targets at providing an evaluating mechanism, enhancing predictability from past experiences, promoting efficient, secure and reciprocal cooperation between entities, and forming a benign cycle in Grid computing. And contract is introduced to be a supervising mechanism. By this means, a context sensitive, deception detectable, criteria clear, and bias correctable reputation computing will be achieved. Besides, this scheme also develops some kind of CBR (Case-Based Reasoning) capabilities.

Keywords

Grid Service Service Transaction User Reputation Reputation Evaluation Grid Security 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Xiangli Qu
    • 1
  • Nong Xiao
    • 1
  • Guang Xiang
    • 2
  • Xue-Jun Yang
    • 1
  1. 1.School of Computer ScienceNational University of Defence TechnologyChangshaChina
  2. 2.Institute of Computer Software and TheoryNortheastern UniversityShenyangChina

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