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A Rank-Based Hybrid Algorithm for Scheduling Data- and Computation-Intensive Jobs in Grid Environments
[chapter]
2013
Advances in Intelligent Systems and Computing
Scheduling is one of the most important challenges in grid computing environments. Most existing scheduling algorithms in grids only focus on one type of grid jobs which can be data-intensive or computation-intensive. However, merely considering one type of jobs in scheduling does not result in proper scheduling in the viewpoint of all system, and sometimes causes wasting of resources on the other side. To address the problem of simultaneously considering both types of jobs, a rank-based hybrid
doi:10.1007/978-81-322-1665-0_79
fatcat:4xzrumjcbbfafnapi6sag2xoq4