Fuzzy based map reduce technique for energy efficiency in multi core cloud computing

Multi-core systems are built on a number of processors and have their own memories. Multi-core processing is like parallel processing because it makes a number of tasks to run at the same time and it enhances the energy efficiency and performance of jobs. The review has shown that if fuzzy rules are combined with multi core computing then power consumption of multi core processors can be further balanced and performance of multi cores can be further increased. Therefore this work has proposed a fuzzy based map reduce technique for multi-core systems. The use of triangular membership function has reduced the potential overheads of Map-reduce technique. Thus proposed technique has quite significant improvement over available techniques.