IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v6y2016i1p59-87.html
   My bibliography  Save this article

A Survey on MapReduce Implementations

Author

Listed:
  • Amer Al-Badarneh

    (Jordan University of Science & Technology, Irbid, Jordan)

  • Amr Mohammad

    (Jordan University of Science & Technology, Irbid, Jordan)

  • Salah Harb

    (Jordan University of Science & Technology, Irbid, Jordan)

Abstract

A distinguished successful platform for parallel data processing MapReduce is attracting a significant momentum from both academia and industry as the volume of data to capture, transform, and analyse grows rapidly. Although MapReduce is used in many applications to analyse large scale data sets, there is still a lot of debate among scientists and researchers on its efficiency, performance, and usability to support more classes of applications. This survey presents a comprehensive review of various implementations of MapReduce framework. Initially the authors give an overview of MapReduce programming model. They then present a broad description of various technical aspects of the most successful implementations of MapReduce framework reported in the literature and discuss their main strengths and weaknesses. Finally, the authors conclude by introducing a comparison between MapReduce implementations and discuss open issues and challenges on enhancing MapReduce.

Suggested Citation

  • Amer Al-Badarneh & Amr Mohammad & Salah Harb, 2016. "A Survey on MapReduce Implementations," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 6(1), pages 59-87, January.
    • Handle: RePEc:igg:jcac00:v:6:y:2016:i:1:p:59-87
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.2016010104
    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:6:y:2016:i:1:p:59-87. 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.