Task Assignment in Heterogeneous Environment with Advanced Scheduling Algorithms

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
This paper presents an innovative idea of scheduling the tasks to their best processor to reduce the execution time of each task by using multiple heuristics techniques. This paper presents hybrid heuristics techniques which provide better solution of scheduling task. Heuristics such as MinMin+, MaxMin+ and Sufferage+ overcomes the drawback of previously used heuristics methods such as MinMin, MaxMin and Sufferage as well as heuristics in this paper provides better complexity as compare to previous heuristics methods. Later the hybrid heuristics means combination of different heuristics provides better performance without degrading the result quality. This heuristics can also be used in heterogeneous environment more effectively to execute different set of task on different processors with different configurations.
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