PPT-Preemptive Scheduling and

Mutual Exclusion with Hardware Support Thomas Plagemann With slides from Otto J Anshus amp Tore Larsen University of Tromsø and Kai Li Princeton University Overview Interrupts. edu Matthew Caesar UIUC caesarillinoisedu P Brighten Godfrey UIUC pbgillinoisedu ABSTRACT Todays data centers face extreme challenges in providing low latency However fair sharing a principle commonly adopted in current congestion control protocols i Scheduling. Textbook Chapter . 5. Instructor: Stephen G. Dame. e. -mail: sdame@uw.edu. These slides . were adapted . from the OSC textbook slides (Silberschatz, Galvin, and Gagne), Professor Munehiro Fukuda and the instructor’s class materials.. Earliest Deadline . First . Feasibility of Sporadic . Real-time Tasks. Abhilash Thekkilakattil. , Sanjoy Baruah, Radu Dobrin and Sasikumar Punnekkat. Motivation. Multi (-core) processors in real-time systems complicate the problems associated with fully preemptive schedulers. ). 22 novembre 2013. . Dr S. . Alfandari. Médecin Référent en antibiothérapie et Hygiéniste, CH Tourcoing. Infectiologue Consultant, Service des Maladies du sang, CHRU Lille. www.infectio-lille.com. 1. 5. Process and thread scheduling. 5.1 Organization of Schedulers . Embedded and Autonomous Schedulers . . 5.2 Scheduling Methods . A Framework for Scheduling . Common Scheduling Algorithms . An Integrated Approach to Architecture and Operating Systems. Chapter 6. Processor Scheduling. ©Copyright 2009Umakishore Ramachandran and William D. Leahy Jr.. 6.1 Introduction. Things to Do. Laundry. Smart . Power . Grid. : Scheduling . of Power . Demands for . Optimal Energy Management. Authors:. Iordanis Koutsopoulos . Leandros Tassiulas. Presentation by:. Sanjana. . Hangal. Introduction. Consider a . Mutual Exclusion with Hardware Support. Thomas Plagemann. With slides from. Otto J. Anshus & Tore Larsen. (University of Tromsø). and Kai Li. (. Princeton University. ). Preemptive Scheduling. 1. 5.1 Basic Concepts. The . goal of multi-programming is to maximize the utilization of the CPU as a system resource by having a process running on it at all . times. Supporting multi-programming means encoding the ability in the O/S to switch between currently running jobs. 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. 1. 5.1 Basic Concepts. The goal of multi-programming is to maximize the utilization of the CPU as a system resource by having a process running on it at all times. Supporting multi-programming means encoding the ability in the O/S to switch between currently running jobs. Systems . Peter Reiher. . Outline. What is scheduling?. What are our scheduling goals?. What resources should we schedule?. Example scheduling algorithms and their implications. What Is Scheduling?. Juthawut. . Chantharamalee. . Curriculum. . of. . Computer. . Science. Faculty. . of. . Science and Technology. , . Suan. . Dusit. . University. Email. : . jchantharamalee. @. yahoo.com. URL: . (CS 202). Scheduling (1). Jan, 18, 2019. Administrivia. Lab has been released. You may work in pairs. Some more details about how to test your implementation may be added. But feel free to come up with your own.