Genetic Algorithm-Based Task Scheduling in Cloud Computing Using MapReduce Framework

Algorithm 4

Crossover mapper.

	Input: Mappers
	Output: New Mappers
	For each Mapper do Algorithm 5 (A chromosome Ti that has been picked at random)
	Execute the MapReduce task manager
	Record the result as M blocks
	Transfer the outcome to the shuffle step.
	The best person should be written to the global file in DFS if all individuals have been processed
	successfully
	Return (New Mappers)