Enabling the Co-Allocation of Grid Data Transfers

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Enabling the Co-Allocation of Grid Data Transfers
Data-sharing scientific communities use storage systems as distributed data stores by replicating content. In such highly replicated environments, a particular dataset can reside at multiple locations and can thus be downloaded from any one of them. Since datasets of interest are significantly large in size, improving download speeds either by server selection or by co-allocation can offer substantial benefits. In this paper, we present an architecture for co-allocating Grid data transfers across multiple connections, enabling the parallel download of datasets from multiple servers. We have developed several co-allocation strategies comprising of simple brute-force, history-based and dynamic load balancing techniques as a means both to exploit rate differences among the various client-server links and to address dynamic rate fluctuations. We evaluate our approaches using the GridFTP data movement protocol in a wide-area testbed and present our results.
Sudharshan Vazhkudai
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GRID
Authors Sudharshan Vazhkudai
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