Fig. 1From: A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloadsImpact of configuration parameters (i.e., number of reduce tasks and map buffer size) on the job’s end-to-end execution time and the amount of data that are read/written by the map and reduce tasks. a Reduced tasks impact on job’s execution time. b Map buffer size impact on the job’s I/O operationsBack to article page