PPT-Balancing Throughput and Latency to Improve Real-Time

Author : min-jolicoeur | Published Date : 2018-03-07

IO Service in Commodity Systems Mark Stanovich 1 Outline Motivation and Problem Approach Research Directions Multiple worstcase service times Preemption coalescing

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Balancing Throughput and Latency to Improve Real-Time: Transcript

IO Service in Commodity Systems Mark Stanovich 1 Outline Motivation and Problem Approach Research Directions Multiple worstcase service times Preemption coalescing Conclusion 2 Overview. Alizadeh. , Albert Greenberg, David A. . Maltz. , . Jitendra. . Padhye. . Parveen. Patel, . Balaji. . Prabhakar. , . Sudipta. . Sengupta. , . Murari. . Sridharan. . Microsoft Research Stanford University. in. Turn-by-Turn Navigation: . Past Present & Future. Alain L. Kornhauser. Professor, Operations Research & Financial Engineering. Director, Program in Transportation. . Founder, ALK Technologies, Inc.. in HTTP. -based Adaptive Video Streaming with . FESTIVE. Junchen Jiang . (CMU). Vyas. . Sekar. (Stony Brook U). Hui. Zhang (CMU/. Conviva. Inc. .. ). 1. Video . Traffic . is . Becoming Dominant. 2011, 66+% of Internet traffic is video. [Akamai]. Kulkarni. . Ameya.s. . JongHwa. Song. Ashvin. Goal (University of Toronto). Charles . Krasic. (University of British Columbia). Jonathan Walpole (Portland State University) . Stanford University. Joint with:. Abdul . Kabbani. , Tom . Edsall. , . Balaji. . Prabhakar. , . Amin. . Vahdat. , Masato Yasuda. HULL: High . b. andwidth, . Ultra Low-Latency . Data Center Fabrics. November 11, 2011. 1. Ardavan Asef-Vaziri. Throughput, . Utilization, . Bottleneck, Effective Capacity, Theoretical Capacity, and Capacity Leverages.. Flow Rate, Throughput, . Takt. Time and Capacity. Network Performance. Bandwidth and Throughput. Sources. /Definitions . of . latency, jitter and loss. Network properties. Latency. Network . Delays. – . fixed. . and. . variable. Jitter. Variation. 2b. Effective Capacity . &. Throughput Leverages. Based on the book: Managing Business Process Flows.. The . theoretical unit loads for an aggregate policy . (combination . of all policies) . in a . IS 333. Spring . 2015. Q1. Q: What is network latency?. Changes in delay and duration of the changes. time required to transfer data across a network. amount of data that can be transferred, per unit time.. A Lightweight, Non-intrusive Traffic Engineering Approach. Christos . Liaskos. Postdoctoral Researcher, FORTH, AUTH. . cliaskos@ics.forth.gr. Acknowledgements . ERC . NetVolution. project (Asst. Prof. . in Automated Manufacturing. Kira Barton . Department of Mechanical Engineering. University of Michigan. November 3. rd. , 2016. Data flow in automated manufacturing. Current Manufacturing Automation. in HTTP. -based Adaptive Video Streaming with . FESTIVE. Junchen Jiang . (CMU). Vyas. . Sekar. (Stony Brook U). Hui. Zhang (CMU/. Conviva. Inc. .. ). 1. Video . Traffic . is . Becoming Dominant. 2011, 66+% of Internet traffic is video. [Akamai]. 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 . Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , and . Scott . Mahlke. 1. 1. 1. University . of . Michigan, . Ann . Arbor. 2. Hongik University. GPUs in Modern Computer Systems. 2. GPU is now a default.

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