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Dynamic Demes Parallel Genetic Algorithm for Scheduling the Resources in Cloud

Author(s): Gayathri Prakash

Journal: Journal of Current Engineering Research
ISSN 2250-2637

Volume: 3;
Issue: 1;
Date: 2013;
Original page

Keywords: Cloud Computing; Parallel Genetic Algorithm; Scheduling; Infrastructure as a Service; Dynamic Demes;

Cloud computing is an idiom for technologies that provide computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing is a natural evolution of the widespread adoption of virtualisation, service-oriented architecture, autonomic, and utility computing. It becomes “a Cloud” where applications and services can easily grow (scale) and almost never fail, without knowing details of how this “Cloud” functions. Using power-aware scheduling techniques, variable resource management, live migration, and a minimal virtual machine design, overall system efficiency will be vastly improved in a data centre based Cloud with minimal performance overhead. Resource Scheduling is a major practice for Clouds such as Infrastructure as a Service Cloud. An optimized scheduling algorithm is proposed to achieve the optimization or sub-optimization for Cloud scheduling problems, considering the most efficient use of Cloud resources. A Parallel Genetic Algorithm is used for scheduling the resources. The Scheduling policy obtained by Parallel Genetic Algorithm is much faster than traditional Genetic Algorithm.
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