Independent Task Scheduling in Cloud Computing by Improved Genetic Algorithm

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Cloud
Format: PDF
Scheduling is a critical problem in Cloud computing, because a cloud provider has to serve many users in Cloud computing system. So scheduling is the major issue in establishing Cloud computing systems. A good scheduling technique also helps in proper and efficient utilization of the resources. Many scheduling techniques have been developed by the researchers like GA (Genetic Algorithm), PSO (Particle Swarm Optimization), Min-Min, Max-Min, X-Sufferage, etc. This paper proposes a new scheduling algorithm which is an improved version of Genetic Algorithm. In the proposed scheduling algorithm the Min-Min and Max-Min scheduling methods are merged in standard Genetic Algorithm.

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