Research Article
Parallel File Transfer for Grid Economic
@INPROCEEDINGS{10.1007/978-3-642-10485-5_6, author={Chia-Wei Chu and Ching-Hsien Hsu and His-Ya Chang and Shuen-Tai Wang and Kuan-Ching Li}, title={Parallel File Transfer for Grid Economic}, proceedings={Scalable Information Systems. 4th International ICST Conference, INFOSCALE 2009, Hong Kong, June 10-11, 2009, Revised Selected Papers}, proceedings_a={INFOSCALE}, year={2012}, month={5}, keywords={Data Grid Parallel File Transfer Dynamic Adjustment Co-allocation P2P}, doi={10.1007/978-3-642-10485-5_6} }- Chia-Wei Chu
Ching-Hsien Hsu
His-Ya Chang
Shuen-Tai Wang
Kuan-Ching Li
Year: 2012
Parallel File Transfer for Grid Economic
INFOSCALE
Springer
DOI: 10.1007/978-3-642-10485-5_6
Abstract
In data grid environments, datasets are usually replicated to many servers when taking into consideration its efficiency. Since these files are usually huge in size, how to efficiently transmit and access between servers and grid users is an important issue. In this paper, we present an economy-based parallel file transfer technique using P2P co-allocation scheme, aiming to service grid applications efficiently and economically in data grids. Taking into consideration the cost factor, we present a novel mechanism for selection of appropriate server, by combining with an adaptive file decomposition scheme and the dynamic adjustment method. In order to evaluate the performance of the proposed method, we have implemented the proposed algorithm and compared with several other previous published techniques. Simulation results demonstrate that the proposed technique is economically effective.
