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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 proceedingChapterpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationDecision Management
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global Scientific Publishing
Pages1478-1496
Number of pages19
Volume3-4
ISBN (Electronic)9781522518389
ISBN (Print)1522518371, 9781522518372
DOIs
Publication statusPublished - 30 Jan 2017
Externally publishedYes

ASJC Scopus subject areas

  • General Economics,Econometrics and Finance
  • General Business,Management and Accounting

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