Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Replica Selection in the Globus Data Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th 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
Dynamic Co-allocation Scheme for Parallel Data Transfer in Grid Environment
SKG '05 Proceedings of the First International Conference on Semantics, Knowledge and Grid
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We propose a model, which simultaneously allocates a data block request to the multiple sites, termed as co-allocation, to enable parallel data transfer in a grid environment. The model comprises of co-allocator, monitor and control mechanisms. The co-allocation scheme adapts well to the highly inconsistent network performances of the sites concerned. The scheme initially obtains the bandwidth parameter from the monitor module to fix the partition size and the data transfer tasks are allocated onto the servers in duplication. The scheme is found to be tolerant despite the situation that the link to servers under consideration is broken or become idle. We used Globus toolkit for our framework and utilized the partial copy feature of GridFTP. We compared our schemes with the existing schemes and the results show notable improvement in overall completion time of data transfer.