Abstract
The recent availability of cheap Beowulf clusters has
generated much interest for Parallel and Distributed
Evolutionary Computations (PDEC). Another often
neglected source of CPU power for PDEC are networks of
PCs, in many case very powerful workstations, that run
idle each day for long periods of time. To exploit
efficiently both Beowulfs and networks of heterogeneous
workstations we argue that the classic master-slave
distribution model is superior to the currently more
popular island-model. Results obtained with a plausible
deployment scenario demonstrate that system performance
degrades gracefully when failures occurred, while still
achieving near linear speedup in the ideal case.
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