Mobile cloud computing : models, implementation, and security / Meikang Qiu, Pace University, New York City, New York, USA ; Keke Gai, Pace University, New York City, New York, USA.

Mobile Cloud Computing: Models, Implementation, and Security provides a comprehensive introduction to mobile cloud computing, including key concepts, models, and relevant applications. The book focuses on novel and advanced algorithms, as well as mobile app development. The book begins with an overv...

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Authors: Qiu, Meikang (Author), Gai, Keke (Author)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, [2017]
Subjects:

MARC

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245 1 0 |a Mobile cloud computing :  |b models, implementation, and security /  |c Meikang Qiu, Pace University, New York City, New York, USA ; Keke Gai, Pace University, New York City, New York, USA. 
264 1 |a Boca Raton :  |b CRC Press,  |c [2017] 
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504 |a Includes bibliographical references (pages 265-276) and index. 
505 0 |a Overview of cloud computing -- Specific cloud service models -- Basic mechanisms and principles of mobile cloud computing -- MCC architecture design, key techniques, and challenges -- Basic optimizations: a perspective of cloud computing performance -- Preemptable algorithm execution in mobile cloud systems -- Big data and service computing in cloud computing -- Security and privacy issues and threats in MCC 151 -- Privacy protection techniques in mobile cloud computing -- Web services in cloud computing. 
520 |a Mobile Cloud Computing: Models, Implementation, and Security provides a comprehensive introduction to mobile cloud computing, including key concepts, models, and relevant applications. The book focuses on novel and advanced algorithms, as well as mobile app development. The book begins with an overview of mobile cloud computing concepts, models, and service deployments, as well as specific cloud service models. It continues with the basic mechanisms and principles of mobile computing, as well as virtualization techniques. The book also introduces mobile cloud computing architecture, design, key techniques, and challenges. The second part of the book covers optimizations of data processing and storage in mobile clouds, including performance and green clouds. The crucial optimization algorithm in mobile cloud computing is also explored, along with big data and service computing. Security issues in mobile cloud computing are covered in-depth, including a brief introduction to security and privacy issues and threats, as well as privacy protection techniques in mobile systems. The last part of the book features the integration of service-oriented architecture with mobile cloud computing. It discusses web service specifications related to implementations of mobile cloud computing. The book not only presents critical concepts in mobile cloud systems, but also drives readers to deeper research, through open discussion questions. Practical case studies are also included. Suitable for graduate students and professionals, this book provides a detailed and timely overview of mobile cloud computing for a broad range of readers. 
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700 1 |a Gai, Keke,  |e author.  |0 http://id.loc.gov/authorities/names/n2017003565. 
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