PPT-Delay-Based Network Utility Maximization

Michael J Neely University of Southern California httpwwwrcfuscedumjneely IEEE INFOCOM San Diego March 2010 Sponsored in part by the DARPA ITMANET Program NSF Career CCF 0747525. 1 1 Marginal utility analysis requires numerical measureof utility to determine the optimal consumption combinations A new approach is developed to analyze utility and consumer behavior It does not re Honglei. . Zhuang. , . Yihan. Sun, Jie Tang, Jialin Zhang, Xiaoming Sun. Influence Maximization. 0.6. 0.5. 0.1. 0.4. 0.6. 0.1. 0.8. 0.1. A. B. C. D. E. F. Probability . of . influence. Marketer Alice. . Brian Eriksson. Technicolor Palo Alto. Mark Crovella. Boston University. Our focus is on . IP Geolocation. T. arget. Internet. ?. ?. ?. ?. ?. Geographic . location . (geolocation). ?. Why?. : Targeted advertisement, product delivery, law enforcement, counter-terrorism . Chih. -Ping Li , Michael J. Neely. University of Southern California. Information Theory and Applications Workshop, La Jolla, Feb. 2011. 1. Channel State 1 = ?. Channel State 2 = ?. Channel State 3 = ?. Honglei. . Zhuang. , . Yihan. Sun, Jie Tang, Jialin Zhang, Xiaoming Sun. Influence Maximization. 0.6. 0.5. 0.1. 0.4. 0.6. 0.1. 0.8. 0.1. A. B. C. D. E. F. Probability . of . influence. Marketer Alice. Network Performance. Bandwidth and Throughput. Sources. /Definitions . of . latency, jitter and loss. Network properties. Latency. Network . Delays. – . fixed. . and. . variable. Jitter. Variation. Networks. Xiaowen. Gong, . Xu. Chen, . Junshan. Zhang. Arizona State University. Allerton. Conference 2013 . Oct. 4th, 2013. Outline. Introduction. Social Group Utility Maximization Framework. Introduction to wireless . comms. Network performance. Dr. George . Loukas. University of . Greenwich. Content. Technologies for . Modelling. Managing. Evaluating. Wireless, . mobile,. wired networks. Networks. Xiaowen. Gong, . Xu. Chen, . Junshan. Zhang. Arizona State University. Allerton. Conference 2013 . Oct. 4th, 2013. Outline. Introduction. Social Group Utility Maximization Framework. Jian He. UT Austin. 1. Why is Congestion Control necessary?. Data . Packets. ACK. Congested . Link. Congested link vs. reliability: . long queuing delay, packet loss. But, can delay or packet loss always . Network Utility Maximization. Mohammad Alizadeh. Fall 2016. 1. What Problem is TCP . really. solving?. 2. 1 Mb/s. x. 1 . = ?. x. 2. . = ?. x. 3 . = ?. Max-min rate allocation?. x. 1. x. 2. x. 3. Max-min. Hongfa. Ding, Zhou He, Xiao Fang, Dandi Zhang, . Lingda. Xu, . Yonglin. . Zhi. , Zhou Jun, Chang Liu, L. Li. Wuhan National High Magnetic Field Center. ，. Huazhong University of Science and Technology,. Summary. . July 28, 2012. What can we do?. Absent changes to the network can we actually do something?. Yes. Is there work in the area of measurements that can we do to create “incentives” to make updates in the network happen?. Economics. 2 Emmanuel . Saez. Fall. 2024. I. Introduction to Consumer Optimization. Why Consumer Optimization Is Important.