PPT-Workshop on Reducing Internet Latency

goals for taxonomy session survey sources of latency categorise solutions quantify benefits consider deployment aspects shortterm amp longterm applicability common reference framework for discussions. at Continuous 1 ms Resolution. Weixin Wu, Yujie Dong, Adam Hoover. Dept. Electrical and Computer Engineering,. Clemson University. What is system latency. Delay from when an event is sensed to when the computer “does something” (actuates). Kulkarni. . Ameya.s. . JongHwa. Song. Ashvin. Goal (University of Toronto). Charles . Krasic. (University of British Columbia). Jonathan Walpole (Portland State University) . Mark Claypool and David . Finkel. {. claypool,dfinkel. }@cs.wpi.edu. Computer Science and. Interactive Media & Game Development. Worcester Polytechnic Institute. 1. Cloud-based Games. Connectivity and capacity of networks growing. Presence of Reordering. Myungjin. Lee. , Sharon Goldberg,. Ramana. . Rao. . Kompella. , . George Varghese. Trend toward low-latency networks. Low latency: one of important . metrics in . designing a network. Eric Verdin, MD. Associate Director and Senior Investigator. HIV Latency: Establishment vs. Maintenance. HIV Latency at the Molecular Level. HIV Latency at the Molecular Level. HIV Latency at the Molecular Level. Reducing Crime in the Retail Sector. issues to consider…. There are five town centres consisting mainly of small businesses and generally low levels of reported crime.   . Does this indicate a lack of business confidence to report crime? . Mark Claypool and David . Finkel. Worcester Polytechnic Institute. 1. In . Proceedings of the 13th ACM Network and System Support for Games (. NetGames. ). , . Nagoya, Japan, December 4-5, 2014. . Cloud-based Games. Dataflow Architectures. Supervisor: Anthony Steed. Sebastian . Friston. EngD. VEIV. Why Latency?. The time between a user’s action, and the computer’s response to this . action. Must be low to maintain the sense that the world is responding to the user – key to enabling presence. Shreya. The Problem. Machine learning requires real time, accurate, and robust predictions under heavy query load.. Most machine learning frameworks care about optimizing model training not deployment. Keqiang He, . Weite. Qin, . Qiwei. Zhang, . Wenfei. Wu. , . Junjie. Yang, Tian Pan, . Chengchen. Hu, Jiao Zhang, Brent Stephens, Aditya . Akella. , Ying Zhang. 1. Bandwidth Allocation in Clouds . What games do 7- 9 . yr. olds play ?. Monsters, witches, dragons…... . The . outside world is beginning to open up and offers excitement but also fear of the unknown. Children’s stories are filled with giants and monsters and dragons all . Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Jialin. . Li, Naveen Kr. Sharma. , Dan . R. K. Ports and Steven D. . Gribble . Presented By: Tejala . Thippeswamy. Agenda. Introduction and Background. The Approach. Ideal Latency Distribution. Testbed. Date:. 2024-. 10. -. 10. October 2024. Akira Kishida, NTT. Slide . 1. Authors:. Name. Affiliations. Address. Phone. e-mail. Akira Kishida. NTT. 1-1, Hikarinooka Yokosuka-Shi, Kanagawa 239-0847, Japan.