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Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

Tawalbeh, Lo'ai A. and Mehmood, Rashid and Benkhlifa, Elhadj and Song, Houbing (2016) Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications. IEEE Access, 4. pp. 6171-6180. ISSN 2169-3536

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Abstract or description

Mobile devices are increasingly becoming an indispensable part of people's daily life,
facilitating to perform a variety of useful tasks. Mobile cloud computing integrates mobile and cloud
computing to expand their capabilities and bene�ts and overcomes their limitations, such as limited memory,
CPU power, and battery life. Big data analytics technologies enable extracting value from data having four
Vs: volume, variety, velocity, and veracity. This paper discusses networked healthcare and the role of mobile
cloud computing and big data analytics in its enablement. The motivation and development of networked
healthcare applications and systems is presented along with the adoption of cloud computing in healthcare.
A cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications
is described. The techniques, tools, and applications of big data analytics are reviewed. Conclusions are
drawn concerning the design of networked healthcare systems using big data and mobile cloud-computing
technologies. An outlook on networked healthcare is given.

Item Type: Article
Faculty: School of Computing and Digital Technologies > Computing
Depositing User: Elhadj BENKHELIFA
Date Deposited: 03 Jul 2017 14:07
Last Modified: 04 Jul 2017 14:26
URI: http://eprints.staffs.ac.uk/id/eprint/3633

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