Document Type
Article
Publication Date
2016
Abstract
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 benefits 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.
Digital Object Identifier (DOI)
10.1109/ACCESS.2016.2613278
Volume
4
Repository Citation
Tawalbeh, Lo'ai A.; Mehmood, R.; Benkhlifa, E.; and Song, H., "Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications" (2016). Computer Science Faculty Publications. 19.
https://digitalcommons.tamusa.edu/computer_faculty/19
Comments
© Institute of Electrical and Electronics Engineers. Original published version available at https://doi.org/10.1109/ACCESS.2016.2613278.
Tawalbeh L.A., Mehmood R., Benkhlifa E., Song H. "Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications," IEEE Access, vol. 4, pp. 6171-6180, 2016.