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Big data analytics in mobile and cloud computing environments

  • University of Malaya
    ,
  • King Saud University
    ,
  • Iqra University
Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Abstract

Multiple properties of big mobile data, namely volume, velocity, variety, and veracity make the big data analytics process a challenging task. It is desired that mobile devices initially process big data before sending it to big data systems to reduce the data complexity. However, the mobile devices have recourse constraints, and the challenge of processing big mobile data on mobile devices requires further exploration. This chapter presents a thorough discussion about mobile computing systems and their implication for big data analytics. It presents big data analytics with different perspectives involving descriptive, predictive, and prescriptive analytical methods. Moreover, the chapter presents a detailed literature review on mobile and cloud based big data analytics systems, and highlights the future application areas and open research issues that are relevant to big data analytics in mobile cloud environments. Lastly, the chapter provides some recommendations regarding big data processing, quality improvement, and complexity optimization.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Host publication Subtitle

Concepts, Methodologies, Tools, and Applications

Original language

English

Pages from-to (Number of pages)

Pages 1478-1496 (19 pages)

Publication milestones

  • Published - 30/01/2017

Publication status

Published - 30/01/2017

Volume

3-4

Publisher

IGI Global Scientific Publishing, United States
1522518371, 9781522518372

ISBN (Electronic)

9781522518389

External Publication IDs

  • Scopus: 85021319118

Host publication title

Decision Management