The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Complete and fragmented replica selection and retrieval in Data Grids
Future Generation Computer Systems
Job scheduling and data replication on data grids
Future Generation Computer Systems
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
Dynamic Data Replication based on Local Optimization Principle in Data Grid
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
A Proactive Non-Cooperative Game-Theoretic Framework for Data Replication in Data Grids
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Heuristic Algorithms for Replication Transition Problem in the Grid Systems
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Access-pattern and bandwidth aware file replication algorithm in a grid environment
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Replica selection on co-allocation data grids
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
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Rather than replicating a file completely, Chang et al. proposed a fragmented replication technique to cope with the problem that only partial content of the replica are required in a local application. Furthermore, they also proposed two server selection algorithms for replica retrieval. However, their algorithms do not always find an optimal solution. To address the problem, in this paper, the authors propose a replica selection algorithm to improve the fragmented replica retrieval efficiency in this paper. It is a heuristic considering not only the transmission time but also the number of available servers for each block. Simulation results show that the proposed algorithm can improve the retrieval efficiency up to 12%.