Content Distribution for Mobile Internet: A Cloud-Based Approach - Yafei Dai
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Présentation Content Distribution For Mobile Internet: A Cloud - Based Approach de Zhenhua Li Format Relié
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Résumé :
This book investigates the cloud-based techniques of content distribution mainly for mobile Internet. It starts with hot topics such as cellular traffic optimization and video content delivery. By integrating the cloud scheme, it further tackles issues of traffic-saving, energy-efficient, high-speed, and delay-tolerant content delivery with regard to mobile Internet. It covers both theoretical algorithms and their real-world system implementations. In particular, various well-known cloud platforms such as Baidu Traffic Guard, Tencent QQXuanfeng, Google Drive, Microsoft OneDrive, and Dropbox are elaborated respectively in the book. Lastly, it includes an educational and experimental cloud computing platform allowing public access, which benefits researchers, practitioners, and developers in the field of cloud computing/storage and mobile Internet. Throughout the book there are helpful and practical tips on setting up cloud systems that readers can easily follow.
Biographie: Zhenhua Li has been an assistant professor at present and a post-doc researcher in School of Software at Tsinghua University since 2013. He obtained the Ph.D. degree in Computer Science from Peking University in 2013. He visited the University of Minnesota, Tencent Research, and Hong Kong Polytechnic University in 2011, 2010, and 2007, respectively. His research interests are mainly on cloud computing/storage, mobile Internet, cloud downloading, and peer-to-peer (P2P) content distribution. He has published over 40 papers on recognized conferences and core journals, as well as a book entitled 'Peer-to-Peer Network: Structure, Application and Design' in Chinese with Tsinghua University Press. He served actively as program committee members of various international conferences.
Yunhao Liu is a Chang Jiang Professor and dean of School of Software at Tsinghua University, China. He received the Ph.D. degree and M.S. degree in Computer Science and Engineering from Michigan State University in 2003 and 2004, respectively, and a B.S. degree in the Automation Department of Tsinghua University in 1995. His research interests include distributed systems, wireless sensor networks/RFID, cyber physical systems, and Internet of Things (IoT), privacy and security, network management and diagnosis, etc. He has published over 300 papers on prestigious conferences and journals, as well as 2 books entitled 'Introduction to IoT' and 'Location, Localization, and Localizability'. He is serving as the Associate Editor for IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Networks. He is a Fellow of ACM and IEEE.
Sommaire: Part I Get Started.- 1 Background and Overview.- Part II Cloud-based Cellular Traffic Optimization.- 2 Cross-Application Cellular Traffic Optimization.- Part III Cloud-based Mobile Video Distribution.- 3 Cloud Downloading for Unpopular Videos.- 4 Cloud Transcoding for Mobile Devices.- 5 Offline Downloading: A Comparative Study.- Part IV Cloud-assisted P2P Content Distribution.- 6 Cloud Tracking or Open-P2SP.- 7 Cloud Bandwidth Scheduling.- Part V Cloud Storage-oriented Content Distribution.- 8 Towards Network-level Efficiency for Cloud Storage Services.- 9 Efficient Batched Synchronization for Cloud Storage Services.- Part VI Last Thoughts.- 10 Research Summary and Future Work.
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