A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments

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Please use this identifier to cite or link to this item: http://ir.meiho.edu.tw/ir/handle/987654321/2078

Title:	A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments
Authors:	Lin, Chun-Hung Richard Wen, Chun-Hao Lin, Ying-Chih Tung, Kuang-Yuan Lin, Rung-Wei Lin, Chun-Yuan
Contributors:	健康暨護理學院
Date:	2013
Issue Date:	2013-08-27T01:39:05Z (UTC)
Abstract:	Bioinformatics is advanced fromin-house computing infrastructure to cloud computing for tackling the vast quantity of biological data.This advance enables large number of collaborative researches to share theirworks around the world. In view of that, retrieving biological data over the internet becomes more and more difficult because of the explosive growth and frequent changes. Various efforts have been made to address the problems of data discovery and delivery in the cloud framework, but most of them suffer the hindrance by a MapReduce master server to track all available data. In this paper, we propose an alternative approach, called PRKad, which exploits a Peer-to-Peer (P2P) model to achieve efficient data discovery and delivery. PRKad is a Kademlia-based implementation with Round-Trip-Time (RTT) as the associated key, and it locates data according to Distributed Hash Table (DHT) and XOR metric. The simulation results exhibit that our PRKad has the low link latency to retrieve data. As an interdisciplinary application of P2P computing for bioinformatics, PRKad also provides good scalability for servicing a greater number of users in dynamic cloud environments.
Relation:	International Journal of Genomics
Appears in Collections:	[Department of Information Technology] Papers

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