Data Centers

Comparison of Processor Scheduling Algorithms Using Genetic Approach

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Operating system efficiency is affected by several factors. Scheduling of CPU is one of the critical factors that affects the efficiency. In case of process scheduling the authors allocate processes to processor in a specified sequence so that efficiency of the system is maximized. In this paper genetic algorithm is used to find a solution for CPU Scheduling. Genetics algorithm is based on the principle of genetics and evolution using efficient encoding, crossover and mutation operators they accomplish the objective. The population is encoded with the suitable encoding scheme.