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Job scheduling in a partitionable mesh using a two-dimensional buddy system partitioning scheme

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2 Author(s)
K. Li ; Dept. of Math. & Comput. Sci., State Univ. of New York, New Paltz, NY, USA ; K. -H. Cheng

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

Published in:

IEEE Transactions on Parallel and Distributed Systems  (Volume:2 ,  Issue: 4 )