File and Object Replication in Data Grids
Cluster Computing
Predicting the Performance of Wide Area Data Transfers
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Replica Selection in the Globus Data Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Improving Performance via Computational Replication on a Large-Scale Computational Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Predicting Sporadic Grid Data Transfers
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Enabling the Co-Allocation of Grid Data Transfers
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Replica Placement in Data Grid: Considering Utility and Risk
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Optimal Placement of Replicas in Data Grid Environments with Locality Assurance
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Replica selection on co-allocation data grids
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Branch replication scheme: A new model for data replication in large scale data grids
Future Generation Computer Systems
Hi-index | 0.00 |
Grid technologies congregate numerous computers to provide powerful computing and massive storage. In data-intense applications, Data Grids are developed to cope with the efficiency of data access. Replication is one of the methods to elevate the access performance. When a file is replicated, it can be downloaded from all the nodes with that file in parallel, thus reducing the access latency. Therefore, a fair and adaptive replication strategy for high speed transmission is important. In this paper, we design such a strategy to duplicate popular files to beneficial nodes in the grid networks. All the users deserve the same quality of transmission. The contributions of our mechanism are to average the transmission cost and evenly distribute the workload for download. Simulation results are also given to demonstrate the performance of our replication strategy.