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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 02 Issue: 09 | Dec-2015 p-ISSN: 2395-0072 © 2015, IRJET ISO 9001:2008 Certified Journal Page 2571 A STUDY OF THE OPTIMISTIC MAPREDUCE TECHNIQUES FOR ENERGY MINIMIZATION AND PERFORMANCE ENHANCEMENT FOR MULTICORE CLOUD COMPUTING APPLICATIONS Priyanka Gupta 1 , Kiranbir Kaur 2 1 Department of Computer Engg & Technology, Guru Nanak Dev University, Amritsar, Punjab, India 2 Department of Computer Engg & Technology, Guru Nanak Dev University, Amritsar, Punjab, India Abstract 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. Al so the use of fuzzy “if then” rules can reduce the potential overheads of Map-reduce technique. Key Words: Multi-core, energy efficiency, Distributed Task Execution , Map Reduce, Fuzzy rules 1. INTRODUCTION With the increase in number of chips per core, the demand for adequate programming frameworks which can bring the parallelization of the programs automatically increase and can bring adequate synchronization and communication system also increase [1]. Multi core processing is used to make energy efficient, augment performance and to make multiple tasks run concurrently in further adequate way as in parallel processing, which is a kind of an integrated circuit where two or more than two processors have been connected. The enlargement of many research fields have been derived with the enlargement of multi- core processors. When multi core processors were not seen, there was exponential increment in speed of microprocessors over time so does need of more transistors. As the speed increases, the number of transistors required in processing also increased in a manner that large number of transistors switching at very high frequencies led to very high energy utilization [2]. Multi-core architecture is established on number of processors and has local caches (memories)[3]. 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.
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