Abstract—To make grid computing environment a robust platform, selection of resource owners by users for the job delegation and the protection of owners’ resources from malicious users must be carefully handled. In smaller grids due to possession of identity certificates by the users, the above problem was not prominent. But as the grids grow larger and jobs become more complex, the traditional methods cannot be used due to lack of flexibility and scalability in them. In this paper we propose an agent based reputation system to solve the above problem of selection of resource owners for the job delegation and users for the security of resources. Our framework computes trust and reputation among interacting grid entities based on community experiences to classify and select them for interaction. To quantify trust and reputation of the grid entities Fuzzy Inference system is applied.
Index Terms—Agent, fuzzy inference engine, recommendation, trust.
Punam Bedi is with Department of Computer Science, University of Delhi – 110007, India (e-mail: punambedi@ieee.org).
Harmeet Kaur is with Department of Computer Science, Hans Raj College, University of Delhi – 110007, Delhi, India (e-mail: hkaur@hrc.du.ac.in).
Bhavna Gupta is with the Department of Computer Science, University of Delhi, India (e-mail: guptac7@gmail.com).
Cite: Punam Bedi, Harmeet Kaur, and Bhavna Gupta, "An Agent Based Reputation System for Unreliable Grid Environment," International Journal of Modeling and Optimization vol. 3, no. 1, pp. 74-79, 2013.
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