Comparison of multi-objective evolutionary approaches for task scheduling in distributed computing systems

G. Subashini; M. C. Bhuvaneswari

doi:10.1007/s12046-012-0102-4

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Comparison of multi-objective evolutionary approaches for task scheduling in distributed computing systems

G. Subashini M. C. Bhuvaneswari

Year: 2012 Journal: Sadhana Vol: 37 (6)Pages: 675-694 Publisher: Springer Science+Business Media

DOI: 10.1007/s12046-012-0102-4

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Keywords:

Computer science Job shop scheduling Mathematical optimization Sorting Scheduling (production processes) Multi-objective optimization Particle swarm optimization Distributed computing Evolutionary algorithm Benchmark (surveying) Schedule Algorithm Mathematics Artificial intelligence Machine learning

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Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Parallel Computing and Optimization Techniques

Physical Sciences → Computer Science → Hardware and Architecture

Comparison of multi-objective evolutionary approaches for task scheduling in distributed computing systems

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