High Performance Scheduling in Parallel Heterogeneous Multiprocessor Systems Using Evolutionary Algorithms
Автор: Mohammad Sadeq Garshasbi, Mehdi Effatparvar
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 11 vol.5, 2013 года.
Бесплатный доступ
Scheduling is the process of improving the performance of a parallel and distributed system. Parallel systems are part of distributed systems. Parallel systems refers to the concept of run parallel jobs that can be run simultaneously on several processors. Load balancing and scheduling are very important and complex problems in multiprocessor systems. So that problems are an NP-Complete problems. In this paper, we introduce a method based on genetic algorithms for scheduling and laod balancing in parallel heterogeneous multi-processor systems. The results of the simulations indicate Genetic algorithm for scheduling at in systems is better than LPT, SPT and FIFO. Simualation results indicate Genetic Algorithm reduce total response time and also it increase utilization.
Scheduling, Load Balancing, Multiprocessor Systems, Genetic Algorithm, Response Time, Utilization
Короткий адрес: https://sciup.org/15010494
IDR: 15010494
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