Internet Video Data Streaming
Description
This book investigates the problem of reducing operating cost for a video streaming content delivery network (CDN), including both the CDN's energy and traffic costs. It first introduces the key issues and design choices of representative real-world CDNs, and discusses the energy saving techniques for data centers and CDNs. Then, based on a measurement study on a large video streaming CDN, it reveals an inherent conflict between improving a video streaming CDN's energy efficiency for energy saving, and maintaining the CDN's ISP-friendly server selection policy. Further, it discusses a cost-aware capacity provisioning algorithm that not only allows the service capacity of a CDN's server clusters in numerous ISPs to be dynamically planned, but also means that the overall operating cost, including both the energy consumptions and the cross-ISP traffics, can be further optimized. In addition it uses the workload derived from real-world measurement and also implements real values of theactual power and bandwidth prices to evaluate the capacity provisioning algorithm, showing that it can significantly reduce the overall operating cost of a video streaming CDN, and effectively avoid frequent server switches. Lastly, the book outlines a number of potential research directions regarding cost-aware content delivery. The measurement, analysis, and optimization methodologies and results presented in this book are of particular interest to researchers in the Internet and networking area.
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Ye Tian received the bachelor's degree in electronic engineering and the master's degree in computer science from University of Science and Technology of China (USTC), Hefei, China, in 2001 and 2004, respectively, and the Ph.D. degree from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, in 2007. He joined USTC in 2008 and is currently an Associate Professor with the School of Computer Science and Technology, USTC. His research interests include Internet measurement, performance evaluation, future Internet architectures, and software defined networking. He is the winner of the Wilkes Best Paper Award of Oxford The Computer Journal in 2016. He is currently serving as a Young Associate Editor of Springer Frontiers of Computer Science Journal.
Min Zhao received her bachelor's degree in computer science from Zhengzhou University. Currently she is pursuing her Master's degree with the School of Computer Science andTechnology, University of Science and Technology of China. Her research interests include Internet content delivery networks and multimedia networks.
Xinming Zhang received the BE and ME degrees in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 1985 and 1988, respectively, and the PhD degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2001. Since 2002, he has been with the faculty of the University of Science and Technology of China, where he is currently a professor with the School of Computer Science and Technology. He is also with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China. From September 2005 to August 2006, he was a visiting professor with the Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea. His research interest includes wireless networks. He has published more than 70 papers in wireless ad hoc and sensor networks.
Content
Chapter 1 Introduction.- 1.1 Background.- 1.2 CDN Objectives.- 1.3 Challenges in CDN.- 1.4 Energy-saving and Cost-aware Content Delivery.- Chapter 2 Content Delivery Networks and Its Interplay with ISPs.- 2.1 CDNs in Real World.- 2.2 Interplay between CDN and ISP.- Chapter 3 Energy Management.- 3.1 Energy Saving for Data Center.- 3.2 Energy Saving for CDN.- Chapter 4 Cost Measurement for Internet Video Streaming.- 4.1 Measurement Methodology and CDN Architecture.- 4.2 Server Selection Policy Analysis.- 4.3 Energy-aware Capacity Provisioning.- 4.4 Implication and Motivation.- Chapter 5 Capacity Provisioning for Video Content Delivery.- 5.1 Problem Statement.- 5.2 Capacity Provisioning Algorithm.- Chapter 6 Performance Evaluation.- 6.1 Experiment Setup.- 6.2 Evaluation and Comparison.- Chapter 7 Concluding Remarks.