PPT-CPU Scheduling

Author : marina-yarberry | Published Date : 2015-10-07

Reading Silberschatz et al Chapters 52 53 54 When to Schedule Required on these occasions When a process exits When a process blocks on IO or a semaphore more on

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CPU Scheduling: Transcript


Reading Silberschatz et al Chapters 52 53 54 When to Schedule Required on these occasions When a process exits When a process blocks on IO or a semaphore more on this later When a new process is created. 1 CPU scheduling algorithm determines an order for the execution of its scheduled processes Given processes to be scheduled on one processor how many different schedules are possible Give a formula in terms of n Answer n factorial 1 2 1 62 Exp Shouling. . Ji. and . Raheem. . Beyah. CAP group, School of Electrical and Computer Engineering. Georgia Institute of Technology. Zhipeng. . Cai. . Department of Computer Science. Georgia State . 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.. Main-Memory Workloads. Iraklis. . Psaroudakis. (EPFL). , Tobias Scheuer (SAP AG), Norman May (SAP AG), Anastasia Ailamaki (EPFL). 1. Scheduling for high concurrency. 2. Queries >> H/W contexts. Stephen Dombroski – Sr. Mgr. Marketing - Manufacturing Industries, QAD. Jason Scott – Partner, MPS Associates. MWUG. Spring2013. Tools for the Planning and Scheduling process. How do these tools work together?. Manufacturing . Systems. By . Djamila. . Ouelhadj. and . Sanja. . Petrovic. Okan Dükkancı. 02.12.2013. Introduction. Dynamic . environments . with inevitable unpredictable real time events. ;. Machine failures . Suli Yang, Tyler Harter, . Nishant. . Agrawal. , . Samer. Al-. Kiswany. , . Salini. . Selvaraj. . Kowsalya. ,. . Anand. Krishnamurthy, . Rini. T . Kaushik. , . Andrea C. . Arpaci-Dusseau. , . Remzi. Multi-core Processors. Dawei Li . and Jie . Wu. Department of Computer and Information Sciences. Temple University, Philadelphia, . USA. The 43. rd. International . C. onference on Parallel . P. rocessing. -Ashish Singh. Introduction. History and Background. Linux Scheduling. Modification in Linux Scheduling. Results. Conclusion. References. Questions. History and Background. In 1991 Linus Torvalds took a college computer science course that used the Minix operating system. 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). By. Dr. Amin Danial Asham. References. Real-time Systems Theory and Practice. . By . Rajib. mall. Task Scheduling. Real-Time task scheduling essentially refers to determining the order in which the various tasks are to be taken up for execution by the operating system. Every operating system relies on one or more task schedulers to prepare the schedule of execution of various tasks it needs to run. Each task scheduler is characterized by the scheduling algorithm it employs. A large number of algorithms for scheduling real-Time tasks have so far been developed. Real-Time task scheduling on uniprocessors is a mature discipline now with most of the important results having been worked out in the early 1970's. The research results available at present in the literature are very extensive and it would indeed be grueling to study them exhaustively. In this text, we therefore classify the available scheduling algorithms into a few broad classes and study the characteristics of a few important ones in each class. . OPERATING SYSTEMS. SCHEDULING. 5: CPU-Scheduling. 2. What Is In This Chapter?. This chapter is about how to get a process attached to a processor.. It centers around efficient algorithms that perform well.. Juthawut. . Chantharamalee. . Curriculum. . of. . Computer. . Science. Faculty. . of. . Science and Technology. , . Suan. . Dusit. . University. Email. : . jchantharamalee. @. yahoo.com. URL: . for High-End CPU-GPU Architectures. Vignesh. Ravi. Dept. of Computer Science and Engineering. Advisor: . Gagan. . Agrawal. 1. The Death of Single-core CPU Scaling. 2. The Landscape of Computing – Moore’s Law.

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