PPT-Content Distribution Networks (CDNs)

Mike Freedman COS 461 Computer Networks http wwwcsprincetonedu coursesarchivespr20cos461 Continuation of Lec 15 2 HTTP xfer single object Web pages many objects nytimescom. CPE 401 . / . 601. Computer . Network Systems. Modified from Ravi . Sundaram. , . Janardhan. R. . Iyengar. , and others. Content and Internet Traffic. Internet traffic:. Shifts seismically (email. FTPWebP2Pvideo). Two examples of network flow between cities in the US: internet connectivity (top), and recorded business travel flow (bottom). Case Study - Box 14.2. OBJECTIVES. Demonstrate the distinctions between local, national, regional and world cities in the urban . Assessing their server availability.. Quantifying their world-wide delay performance.. How to improve delay performance by adding servers.. ABSTRACT. Conduct extensive and thorough measurements that accurately characterize the performance of two large-scale commercial CDNs: Akamai and Limelight.. Minlan Yu. University of Southern California. 1. Joint work with . Wenjie. Jiang, . Haoyuan. Li, and Ion . Stoica. Throughput-Oriented Traffic. 2. Throughput-oriented traffic is growing in Internet. First half based on slides by . Kentaro Toyama,. Microsoft Research, India. And their applications to Web. Networks—Physical & Cyber. Typhoid Mary. (Mary Mallon). Patient Zero. (Gaetan Dugas). Applications of Network Theory. Protection, Distribution & Monetization. “L3”. 2. Scenario Today. MPAA (Motion Picture Association of America. ) says Hollywood . loses 40% of . revenue . ($4 billion) to Piracy. And Piracy is on the rise – a rock-solid solution is required. Ding-Zhu Du, . Lada. . Adamic. , . and . Eytan. Adar. Thesis. There is much to learn from the interaction between . computer science . and . social science. , to study . social networks . from the lens of computer science.. . . . Presented by. Sajna Rejinath. . Introduction. Today, many internet video companies such as YouTube, Netflix etc. , are distributing multi-Mbps streams to users around the world everyday.. Experiment. Ge. Chen (. cheng@gsta.com. ). Mian. Li (. li.mian@zte.com.cn. ). Hongfei. Xia (. xia.hongfei@zte.com.cn. . ). Bhumip. . Khasnabish. (. bhumip.khasnabish@zteusa.com. ). Jie. Liang (. Brian Aronson. Review of ego networks. Ego network (personal network). Ego: Focal node/respondent. Alter: Actors ego has ties with. Dyad: Pair of individuals. Ties. (Ego). D. C. B. Tie types. Friends. Erdős-Rényi. Random model, . Watts-. Strogatz. Small-world, . Barabási. -Albert Preferential attachment, . Molloy-Reed . Configuration model . and . Gilbert . Random . G. eometric model. Excellence Through Knowledge. Minlan Yu. University of Southern California. 1. Joint work with . Wenjie. Jiang, . Haoyuan. Li, and Ion . Stoica. Throughput-Oriented Traffic. 2. Throughput-oriented traffic is growing in Internet. Business of Social and Other Networks Presentation Prof. Nicholas Economides Stern School of Business, New York University http://www.stern.nyu.edu/networks/ Haas School of Business, UC Berkeley and NET Institute ). Prof. . Ralucca Gera, . Applied Mathematics Dept.. Naval Postgraduate School. Monterey, California. rgera@nps.edu. Excellence Through Knowledge. Learning Outcomes. I. dentify . network models and explain their structures.