PPT-Deadline Scheduling and Heavy

tailED distributions Lang Tong School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 Overview Objective Develop design principles and tools for job scheduling problems. : Trimming Stragglers in Approximation . Analytics. Ganesh Ananthanarayanan, Michael Hung, . Xiaoqi . Ren, Ion Stoica, Adam Wierman, Minlan Yu. Next . Generation . of Analytics. Timely. results, even . . Mutli-core. . Scheduling. Moris Behnam. Introduction. Single processor scheduling. E.g., t. 1. (P=10,C=5), t. 2. (10, 6) . U=0.5+0.6>1. Use a faster processor. Thermal and power problems impose limits . 373. An . Introduction to Real Time Systems. Chunks adapted from work by. Dr. Fred . Kuhns. of Washington University. and . Farhan. . Hormasji. What is a Real-Time System?. Real-time systems have been defined as: . Mindstorms. RCX. Term project for CSC714. David . Boyuka. Vishnu . Dasa. Harish . Babu. Problem Statement. Objective: transport objects from “input bins” to the “output bin”, under various real-time constraints. 473. Lecture 2. More on interfacing. Project overview. Start on Real time and RM scheduling. Today. Review and expand on . h. ardware interfacing. Some questions using different devices. Compare to Arduino.. Suli Yang, Tyler Harter, . Nishant. . Agrawal. , . Samer. Al-. Kiswany. , . Salini. . Selvaraj. . Kowsalya. ,. . Anand. Krishnamurthy, . Rini. T . Kaushik. , . Andrea C. . Arpaci-Dusseau. , . Remzi. Models and Methods. Haohan Li. October 08, 2010. Motivation. DO 178-B Criticality Levels. A: Catastrophic. B: Hazardous. C: Major. D: Minor. E: No Effect. WCET Estimations Varies by Levels. Motivation. : Trimming Stragglers in Approximation . Analytics. Ganesh Ananthanarayanan, Michael Hung, . Xiaoqi . Ren, Ion Stoica, Adam Wierman, Minlan Yu. Next . Generation . of Analytics. Timely. results, even . Krishna C. . Garikipati. , . Kassem Fawaz. , Kang G. Shin. University Of Michigan. 1. fronthaulnetwork. What is Cloud-RAN*? . Virtualization in Radio Access Network (RAN). Benefits. Lower energy consumption (compute, HVAC). Kecheng. Yang. James H. Anderson. Dept. of Computer Science. UNC-Chapel Hill. Tardiness Bounds . for Global EDF Scheduling on a Uniform Multiprocessor. Kecheng. Yang. James H. Anderson. Dept. of Computer Science. Analysis for Weakly Hard Real-. Time Tasks in Partitioning Scheduling on. Multiprocessor . Systems. Energy Reduction in Weakly Hard Real . Time Systems. Singh Y, . Popli. M, Shukla . Jaypee. . University of Information Technology. Lecture 2. More on interfacing. Project overview. Start on Real time and RM scheduling. Today. Review and expand on . h. ardware interfacing. Some questions using different devices. Compare to Arduino.. Presented by Glenn Elliott. (with most slides by Jim Anderson and some from Steve Goddard) . Real-Time Basics. Throughout this part of the talk, we assume a . uniprocessor. platform.. 2. A system with a dual notion of correctness:. Ms. Manmeet Chaudhari. MVP, MCTS, MCITP, MCP. . Sr. . Project Advisor – . Advisicon. . Inc. Advanced scheduling options. Setting the deadline date. Handy way . to alert you to problems in your . schedule.