An Adaptive Algorithm for Managing Gradient Topology in Peer-to-Peer networks
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICIKT08_015
تاریخ نمایه سازی: 5 بهمن 1395
Abstract:
Super-peer network is a type of peer-to-peer networks. In a super-peer network, a super-peer is a peer that has more ability than other peers have and is responsible for some of the tasks of network management. Since different peers vary in terms of capability, selecting a super-peer is a challenge problem. Gradient topology is a type of super-peer networks. Because of dynamicity of peers, adaptive methods are important for managing gradient topology. A problem of the existing management algorithms of gradient topology is that they are not sensitive to joining and leaving the peers. This problem becomes more challenging when a malicious peer frequently joins and leaves the network. The proposed algorithm being sensitive to removal of super peers, using learning automata, selects the new super-peers in an adaptive manner. According to the simulation results, the proposed algorithm can compete with the existing algorithms.
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Authors
Sara Fathipour Deiman
Faculty of Computer and Information Technology Engineering, Sama technical and vocational training college TehranBranch (Tehran), Islamic Azad University, Tehran, Iran
Ali Mohammad Saghiri
Soft Computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran, Iran
Mohammad Reza Meybodi
Soft Computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran, Iran
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