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The Effect of the Topology Adaptation on Search Performance in Overlay Network

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Expert Clouds and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 209))

Abstract

In this paper, the proposed research work study and focus on the effect of overlay topology adaptation and improved the search performance in a P2P overlay network. Two different search methods: Guided search vs. blind search have been studied and investigated with the aim to improve the network performance. The bi-direction graph has been used to represent the proposed P2P overlay network as a simulation model, where vertices represent the network nodes and edge represents virtual connection between the nodes. In this work, two different search methods have been studied under these circumstances, they are DFS and BFS. Further, the algorithms were examined under scale-free network topology and topology adaptation. A simulation scenario result has shown that the search and performance are better under the adapation of P2P overlay network than the random scale-free in terms of result and the quality of search performance. The tools used in this model were Java and Matlab.

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Correspondence to Mohammed Hamzah Abed .

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Al-Asfoor, M., Abed, M.H. (2022). The Effect of the Topology Adaptation on Search Performance in Overlay Network. In: Jeena Jacob, I., Gonzalez-Longatt, F.M., Kolandapalayam Shanmugam, S., Izonin, I. (eds) Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 209. Springer, Singapore. https://doi.org/10.1007/978-981-16-2126-0_7

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