PPT-Chapter 6: CPU Scheduling

Chapter 6 CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Thread Scheduling MultipleProcessor Scheduling RealTime CPU Scheduling Skip Operating Systems Examples. And 57375en 57375ere Were None meets the standard for Range of Reading and Level of Text Complexity for grade 8 Its structure pacing and universal appeal make it an appropriate reading choice for reluctant readers 57375e book also o57373ers students Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Chapter 5: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Operating Systems Examples. Algorithm Evaluation. Objectives. 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. 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. . 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?. CS 3100 CPU Scheduling. 1. Objectives. To introduce CPU scheduling, which is the basis for . multiprogrammed. operating systems. To describe various CPU-scheduling algorithms. To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a particular system. CS . 355. Operating Systems. Dr. Matthew Wright. Operating System Concepts. chapter 5. Basic Concepts. Process execution consists of a . cycle. of CPU execution and I/O . wait.. Typical CPU Burst Distribution. 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. 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. BYU CS 345. Disc Scheduling. 2. CS 345. Stalling’s Chapter. #. Project. 1: Computer System Overview. 2: Operating System Overview. 4. P1:. Shell. 3: Process Description and Control. 4: Threads. 4. 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: . 1. Chapter 10. Multiprocessor and. Real-Time Scheduling. BYU CS 345. Chapter 10 - Multiprocessor and Read-Time Scheduling. 2. Classifications of Multiprocessors. Loosely coupled multiprocessor.. each processor has its own memory and I/O channels.