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ZTE Communications ›› 2011, Vol. 9 ›› Issue (1): 4-8.

• Special Topic • Previous Articles     Next Articles

A Survey of Mobile Cloud Computing

Xiaopeng Fan1, Jiannong Cao2, and Haixia Mao3   

  1. 1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences;
    2. Department of Computing, Hong Kong Polytechnic University;
    3. Department of Land Surveying and Geo-informatics, Hong Kong Polytechnic University
  • Online:2011-03-25 Published:2011-03-25
  • About author:Xiaopeng Fan (xp.fan@siat.ac.cn) received B.E. and M.E. degrees in computer science from Xidian University, China. He received his Ph.D. in computer science in 2010 from Hong Kong Polytechnic University. He is currently an assistant researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests include cloud computing, wireless communication, and software engineering. His recent research has been focused on data center and mobile data management. He has reviewed for several international journals and conference proceedings.

    Jiannong Cao (csjcao@comp.polyu.edu.hk) received his M.Sc. and Ph.D. degrees in computer science from Washington State University, Pullman. He is a professor and acting head of the Department of Computing at Hong Kong Polytechnic University. He is also the director of the department’s Internet and Mobile Computing Lab. Before joining Hong Kong Polytechnic University, he taught in the faculty of computer science at James Cook University, the University of Adelaide, and City University, Hong Kong. Dr. Cao’s research interests include computer networks, mobile and pervasive computing, parallel and distributed computing, fault tolerance, and middleware. He has co-authored a book on mobile computing, co-edited 9 other books, and published over 300 papers. Dr. Cao is a senior member of the China Computer Federation, a senior member of the IEEE’s Computer Society and Communication Society, and a member of the ACM. He is also a member of the IEEE Technical Committee on Distributed Processing, IEEE Technical Committee on Parallel Processing, and IEEE Technical Committee on Fault-Tolerant Computing.

    Haixia Mao (lsjessie@polyu.edu.hk) received B.E. and M.E. degrees in remote sensing and geo-informatics at Wuhan University, China. She received her Ph.D. degree in remote sensing and geo-informatics from Hong Kong Polytechnic University in 2010. She is currently a research associate in Hong Kong Polytechnic University. Her research interests include remote sensed image processing and mass geo-spatial data mining in geo-informatics.
  • Supported by:
    This research is partially supported by Hong Kong RGC under the GRF grant PolyU5106/10E and Nokia Research Lab (Beijing) under the grant H-ZG19. This work is also partially supported by the National S&T Major Project of China under No.2009ZX03006-001 and Guangdong S&T Major Project under No.2009A080207002.

A Survey of Mobile Cloud Computing

Xiaopeng Fan1, Jiannong Cao2, and Haixia Mao3   

  1. 1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences;
    2. Department of Computing, Hong Kong Polytechnic University;
    3. Department of Land Surveying and Geo-informatics, Hong Kong Polytechnic University
  • 作者简介:Xiaopeng Fan (xp.fan@siat.ac.cn) received B.E. and M.E. degrees in computer science from Xidian University, China. He received his Ph.D. in computer science in 2010 from Hong Kong Polytechnic University. He is currently an assistant researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests include cloud computing, wireless communication, and software engineering. His recent research has been focused on data center and mobile data management. He has reviewed for several international journals and conference proceedings.

    Jiannong Cao (csjcao@comp.polyu.edu.hk) received his M.Sc. and Ph.D. degrees in computer science from Washington State University, Pullman. He is a professor and acting head of the Department of Computing at Hong Kong Polytechnic University. He is also the director of the department’s Internet and Mobile Computing Lab. Before joining Hong Kong Polytechnic University, he taught in the faculty of computer science at James Cook University, the University of Adelaide, and City University, Hong Kong. Dr. Cao’s research interests include computer networks, mobile and pervasive computing, parallel and distributed computing, fault tolerance, and middleware. He has co-authored a book on mobile computing, co-edited 9 other books, and published over 300 papers. Dr. Cao is a senior member of the China Computer Federation, a senior member of the IEEE’s Computer Society and Communication Society, and a member of the ACM. He is also a member of the IEEE Technical Committee on Distributed Processing, IEEE Technical Committee on Parallel Processing, and IEEE Technical Committee on Fault-Tolerant Computing.

    Haixia Mao (lsjessie@polyu.edu.hk) received B.E. and M.E. degrees in remote sensing and geo-informatics at Wuhan University, China. She received her Ph.D. degree in remote sensing and geo-informatics from Hong Kong Polytechnic University in 2010. She is currently a research associate in Hong Kong Polytechnic University. Her research interests include remote sensed image processing and mass geo-spatial data mining in geo-informatics.
  • 基金资助:
    This research is partially supported by Hong Kong RGC under the GRF grant PolyU5106/10E and Nokia Research Lab (Beijing) under the grant H-ZG19. This work is also partially supported by the National S&T Major Project of China under No.2009ZX03006-001 and Guangdong S&T Major Project under No.2009A080207002.

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Abstract: Mobile Cloud Computing (MCC) is emerging as one of the most important branches of cloud computing. In this paper, MCC is defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It provides mobile users with data storage and processing services on a cloud computing platform. Because mobile cloud computing is still in its infancy, we aim to clarify confusion that has arisen from different views. Existing works are reviewed, and an overview of recent advances in mobile cloud computing is provided. We investigate representative infrastructures of mobile cloud computing and analyze key components. Moreover, emerging MCC models and services are discussed, and challenging issues are identified that will need to be addressed in future work.

Key words: mobile cloud computing, cloud computing

摘要： Mobile Cloud Computing (MCC) is emerging as one of the most important branches of cloud computing. In this paper, MCC is defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It provides mobile users with data storage and processing services on a cloud computing platform. Because mobile cloud computing is still in its infancy, we aim to clarify confusion that has arisen from different views. Existing works are reviewed, and an overview of recent advances in mobile cloud computing is provided. We investigate representative infrastructures of mobile cloud computing and analyze key components. Moreover, emerging MCC models and services are discussed, and challenging issues are identified that will need to be addressed in future work.

关键词: mobile cloud computing, cloud computing