Combining Data Replication Algorithms and Job Scheduling Heuristics in the Data Grid

Author:

Tang Ming,Lee Bu-Sung,Tang Xueyan,Yeo Chai-Kiat

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Ranganathan, K., Foster, I.: Simulation studies of computation and data scheduling algorithms for data grids. Journal of Grid Computing 1, 53–62 (2003)

2. Takefusa, A., Tatebe, O., Matsuoka, S., Morita, Y.: Performance analysis of scheduling and replication algorithms on grid datafarm architecture for high-energy physics applications. In: Proceedings of 12th IEEE International Symposium on High Performance Distributed Computing, HPDC 2003 (2003)

3. Cameron, D.G., Millar, A.P., Nicholson, C., Carvajal-Schiaffino, R., Zini, F., Stockinger, K.: Analysis of scheduling and replica optimisation strategies for data grids using optorsim. Journal of Grid Computing (to appear)

4. Feitelson, D.G., Rudolph, L.: Metrics and benchmarking for parallel job scheduling. In: Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing, pp. 1–24 (1998)

5. Cirne, W., Berman, F.: When the herd is smart: aggregate behavior in the selection of job request. IEEE Transactions on Parallel and Distributed Systems 14, 181–192 (2003)

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