Performance analysis of applying replica selection technology for data grid environments

Authors:
Chao-Tung Yang;Chun-Hsiang Chen;Kuan-Ching Li;Ching-Hsien Hsu
Affiliations:
High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan;High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan;Parallel and Distributed Processing Center, Department of Computer Science and Information Management, Providence University, Taichung, Taiwan;Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan
Venue:
PaCT'05 Proceedings of the 8th international conference on Parallel Computing Technologies
Year:
2005

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Abstract

The Data Grid enables the sharing, selection, and connection of a wide variety of geographically distributed computational and storage resources for solving large-scale data intensive scientific applications. Such technology efficiently manage and transfer terabytes or even petabytes of data for data-intensive, high-performance computing applications in wide-area, distributed computing environments. Replica selection process allows an application to choose a replica from replica catalog, based on its performance and data access features. In this paper, we build a Grid environment based on three existing PC Cluster environments and perform performance analysis of data transfers using GridFTP protocol over these systems. In addition, based on experimental results, it is proposed a cost model to pick the best replica, in real and dynamic network situations.