Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

TLDR

Mobile devices, cloud computing, and big‑data analytics collectively expand capabilities by overcoming device limits and extracting value from large, diverse, fast, and accurate data. The paper examines how mobile cloud computing and big‑data analytics enable networked healthcare. It reviews the development of networked healthcare systems, the adoption of cloud computing, a cloudlet‑based mobile cloud‑computing infrastructure, and the techniques, tools, and applications of big‑data analytics. The authors conclude that integrating mobile cloud computing and big‑data analytics informs the design of networked healthcare systems and outline future directions for the field.

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.