Scheduling tasks in cloud environments using mapping framework - reduction and genetic algorithm
Subject Areas : General
nima khezr
1
()
nima jafari novimipour
2
()
Keywords: Cloud Computing, Task Scheduling, Execution Reduction, Genetic Algorithm, Mapping-Reduction, Hadoop,
Abstract :
Task scheduling is a vital component of any distributed system such as grids, clouds, and peer-to-peer networks that refer tasks to appropriate resources for execution. Common scheduling methods have disadvantages such as high time complexity, inconsistent execution of input tasks, and increased program execution time. Exploration-based scheduling algorithms to prioritize tasks from
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