Proceedings of the 2008 ACM symposium on Applied computing
Journal of Network and Computer Applications
Accessing data from many servers simultaneously and adaptively in data grids
Future Generation Computer Systems
A high-performance virtual storage system for Taiwan UniGrid
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Optimizing server placement for QoS requirements in hierarchical grid environments
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Redundant parallel file transfer with anticipative recursively-adjusting scheme in data grids
ICA3PP'07 Proceedings of the 7th international conference on Algorithms and architectures for parallel processing
Implementation of a medical image file accessing system in co-allocation data grids
Future Generation Computer Systems
Improving job scheduling performance with parallel access to replicas in Data Grid environment
The Journal of Supercomputing
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As the number of data-intensive applications increases in various domains, scientists need to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the long latency of data transfer on the Internet make it very difficult to ensure high-performance access to Data Grids. Thus, data replication techniques have been widely adopted to solve the latency problem. In this paper, we propose an efficient data replication algorithm for multi-source data transfer, whereby a data replica can be assembled in parallel from multiple distributed data sources and adapted to the variability of network bandwidths. The experimental results show that the proposed algorithm can obtain more aggregated bandwidth, reduce connection overheads, and achieve superior load balance.