Big data analytics in mobile and cloud computing environments
- ,
- Atta Ur Rehman Khan,
- Aisha Batool
- ,
- 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
Original language
EnglishPublication milestones
- Published - 2016
Publication status
Published - 2016
Publisher
IGI Global Scientific Publishing, United StatesISBN (Print)
9781522502876, 9781522502883Chapter Number
14External Publication IDs
- ORCID: /0000-0001-7428-2272/work/83656884
- Scopus: 85014309020
Host publication title
Innovative Research and Applications in Next-Generation High Performance ComputingHost publication editors
- Qusay F. Hassan
