Product details
- ISBN 9781482242836
- Weight: 842g
- Dimensions: 178 x 254mm
- Publication Date: 24 Dec 2015
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Minimize Power Consumption and Enhance User Experience
Essential for high-speed fifth-generation mobile networks, mobile cloud computing (MCC) integrates the power of cloud data centers with the portability of mobile computing devices. Mobile Cloud Computing: Architectures, Algorithms and Applications covers the latest technological and architectural advances in MCC. It also shows how MCC is used in health monitoring, gaming, learning, and commerce.
The book examines computation within a mobile device; the evolution, architecture, and applications of cloud computing; the integration of mobile computing and cloud computing; offloading strategies that address constraints such as poor battery life; and green technologies to optimize mobile power consumption. It also presents various resource allocation schemes of MCC, the architecture and applications of sensor MCC, the new concept of mobile social cloud, security and privacy issues in MCC, and different types of trust in MCC.
In addition, the book explains how to integrate MCC with vehicular networks, compares economic models, and explores the application of MCC to mobile learning, vehicle monitoring, digital forensic analysis, health monitoring, and other areas. The book concludes with a discussion of possible solutions to challenges such as energy efficiency, latency minimization, efficient resource management, billing, and security.
Dr. Debashis De is the head of and associate professor in the Department of Computer Science and Engineering at West Bengal University of Technology, and an adjunct research fellow at the University of Western Australia. He is a senior member of the IEEE and member of the International Union of Radio Science. Dr. De is the author of more than 60 articles in peer-reviewed international journals, 50 conference papers, two research monographs, and 10 books. His research interests include location and handoff management, mobile cloud computing, traffic forecasting, green mobile networks, and low-power nanodevice designing for mobile applications. He earned a PhD in engineering from Jadavpur University.
