IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v8y2018i2p1-26.html
   My bibliography  Save this article

On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud

Author

Listed:
  • Arnab Mitra

    (Computer Innovative Research Society (CIRS), Howrah, India)

  • 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)

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.

Suggested Citation

  • Arnab Mitra & Anirban Kundu & Matangini Chattopadhyay & Samiran Chattopadhyay, 2018. "On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(2), pages 1-26, April.
    • Handle: RePEc:igg:jcac00:v:8:y:2018:i:2:p:1-26
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.2018040101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcac00:v:8:y:2018:i:2:p:1-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.