A Study of the Optimistic Mapreduce Techniques for Energy Minimization and Performance Enhancement for Multicore Cloud Computing Applications

Multi-core architecture is established on a number of processors and has local caches (memories). When all the mandatory actions of a computer are executed on a processor which has more than one core to execute, its processor is known as multi core architecture. Multi-core processing is used to make tasks energy efficient, augment their performance and to make multiple tasks run concurrently in further adequate way as in parallel processing. The overall objective of this paper is to review some well known map-reduce techniques that are used to minimize energy consumption. The review has shown that if fuzzy rules are combined with multi core computing then power consumption of multi core can be further balanced and performance of multi cores can be further increased. Also the use of fuzzy “if then” rules can reduce the potential overheads of Map-reduce technique.