Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69776
Title: Data Intensive Grid Scheduling: Multiple Sources with Capacity Constraints
Authors: Wong, H.M.
Veeravalli, B. 
Yu, D.
Robertazzi, T.G.
Keywords: Divisible load scheduling theory(DLT)
Grid computing
Heterogeneous computing
Parallel computing
Resource constraints
Issue Date: 2003
Source: Wong, H.M.,Veeravalli, B.,Yu, D.,Robertazzi, T.G. (2003). Data Intensive Grid Scheduling: Multiple Sources with Capacity Constraints. Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems 15 (1) : 7-11. ScholarBank@NUS Repository.
Abstract: In this paper, we apply divisible load theory to model the Grid scheduling problem involving multiple sources to multiple sinks, and present an optimized scheduling technique for this scenario. This scheduling technique can be easily extended to schedule resources with buffer space constraints. We provide a step-wise scheduling algorithm for these constraints. Two example calculations will show the practical utility and efficiency of DLT.
Source Title: Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/69776
ISBN: 088986392X
Appears in Collections:Staff Publications

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