Adaptive load sharing in homogeneous distributed systems
IEEE Transactions on Software Engineering
DAWGS—a distributed compute server utilizing idle workstations
Journal of Parallel and Distributed Computing
Design of optimal distributed file systems: a framework for research
ACM SIGOPS Operating Systems Review
Design features of high level layers in LAHNOS, a local area heterogeneous network operating system
ACM SIGOPS Operating Systems Review
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Load Sharing in Distributed Systems
IEEE Transactions on Computers
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This paper shows an approach to find quasi-optimal solutions to the first optimization stage of parallel program tasks allocation problem, in an internet distributed system. The user initiates program execution from an arbitrary node in an arbitrary cluster, the parallel tasks comprising the program migrate to quasi-optimal clusters using an strategy that tries to minimize intercluster traffic of the parallel program execution.Genetic algorithms (GAs) [11] are used to provide a set of timely, quasi-optimal solutions.