On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud
Arnab Mitra,
Anirban Kundu,
Matangini Chattopadhyay and
Samiran Chattopadhyay
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Anirban Kundu: Information Technology Department, Netaji Subhash Engineering College, Kolkata, India & Innovation Research Lab (IRL), Howrah, India
Matangini Chattopadhyay: School of Education Technology, Jadavpur University, Kolkata, India
Samiran Chattopadhyay: Department of Information Technology, Jadavpur University, Kolkata, India
International Journal of Cloud Applications and Computing (IJCAC), 2018, vol. 8, issue 2, 1-26
Abstract:
A MapReduce design with Cellular Automata (CA) is presented in this research article to facilitate load-reduced independent data processing and cost-efficient physical implementation in heterogeneous Cloud architecture. Equal Length Cellular Automata (ELCA) are considered for the design. This article explores ELCA rules and presents an ELCA based MapReduce design in cloud. New algorithms are presented for i) synthesis, ii) classification of ELCA rules, and iii) ELCA based MapReduce design in Cloud. Shuffling and efficient reduction of data volume are ensured in proposed MapReduce design.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:8:y:2018:i:2:p:1-26
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