M.A. Moges, D. Yu, and T.G. Robertazzi (USA)
Divisible Loads, Scheduling, Tree Networks, Linear Pro gramming, Multiple Source.
To date solutions for optimal finish time and job alloca tion in divisible load theory are largely obtained only for network topologies with a single load originating (root) processor. However in large-scale data intensive problems with geographically distributed resources, load is generated from multiple sources. This paper introduces a new divisi ble load scheduling strategy for tree networks with two load originating processors. Solutions for an optimal allocation of fraction of loads to nodes in single level tree networks are obtained via linear programming. Performance evalua tion of a two source homogeneous single level tree network with concurrent communication strategy is presented.
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