04952nam 22006495 450 991025484740332120200706224136.0981-10-6523-310.1007/978-981-10-6523-1(CKB)4100000000882182(DE-He213)978-981-10-6523-1(MiAaPQ)EBC5113071(PPN)220123160(EXLCZ)99410000000088218220171023d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierInternet Video Data Streaming Energy-saving and Cost-aware Methods /by Ye Tian, Min Zhao, Xinming Zhang1st ed. 2017.Singapore :Springer Singapore :Imprint: Springer,2017.1 online resource (XI, 60 p. 24 illus.) SpringerBriefs in Computer Science,2191-5768981-10-6522-5 Includes bibliographical references at the end of each chapters.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.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 the actual 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.SpringerBriefs in Computer Science,2191-5768ComputersComputer communication systemsElectrical engineeringComputer system failuresInformation Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035System Performance and Evaluationhttps://scigraph.springernature.com/ontologies/product-market-codes/I13049Computers.Computer communication systems.Electrical engineering.Computer system failures.Information Systems and Communication Service.Computer Communication Networks.Communications Engineering, Networks.System Performance and Evaluation.004.6Tian Yeauthttp://id.loc.gov/vocabulary/relators/aut897533Zhao Minauthttp://id.loc.gov/vocabulary/relators/autZhang Xinmingauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254847403321Internet Video Data Streaming2538892UNINA