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Job Scheduling in a Partitionable Mesh Using a Two-Dimensional Buddy System Partitioning Scheme
October 1991 (vol. 2 no. 4)
pp. 413-422

The job scheduling problem in a partitionable mesh-connected system in which jobs require square meshes and the system is a square mesh whose size is a power of two is discussed. A heuristic algorithm of time complexity O(n(log n+log p)), in which n is the number of jobs to be scheduled and p is the size of the system is presented. The algorithm adopts the largest-job-first scheduling policy and uses a two-dimensional buddy system as the system partitioning scheme. It is shown that, in the worst case, the algorithm produces a schedule four times longer than an optimal schedule, and, on the average, schedules generated by the algorithm are twice as long as optimal schedules.

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Index Terms:
Index Termspartitionable mesh; two-dimensional buddy system partitioning; job scheduling; squaremeshes; heuristic algorithm; time complexity; largest-job-first scheduling; worst case;optimal schedule; average; computational complexity; multiprocessor interconnectionnetworks; parallel algorithms; scheduling
Citation:
K. Li, K.H. Cheng, "Job Scheduling in a Partitionable Mesh Using a Two-Dimensional Buddy System Partitioning Scheme," IEEE Transactions on Parallel and Distributed Systems, vol. 2, no. 4, pp. 413-422, Oct. 1991, doi:10.1109/71.97898
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