R. Chun and K.T.-K. Ho (USA)
Cluster Computing, Load Balancing, Parallel Processing, Heterogeneous Cluster, Scheduling
A load balancing methodology for a parallel processing cluster system consisting of heterogeneous compute nodes is discussed. The method factors into account the suitability of each node’s architectural configuration to process a particular class of application as a function of its instantaneous load. It can also provide estimated time-to completion for processes running on each of the different nodes. Experimental results are reported using a matrix multiplication benchmark program that was run on a small heterogeneous cluster. The development and implementation of the experimental framework, which was built upon two existing open source systems (Chameleon Message Passing Interface and Open PBS), is also described.
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