PPT-Scheduling of Non-Real-Time

Tasks in Linux SCHEDNORMALSCHEDOTHER David Ferry Chris Gill CSE 422S Operating Systems Organization Washington University in St Louis St Louis MO 63143 1 Traditional Scheduling Concerns. Chapter 5: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Operating Systems Examples. Algorithm Evaluation. Objectives. . . Ellidiss. Technologies, France . University of Brest/UBO, Lab-STICC/UMR 6285, France. . 2. /18. Talk overview. Cheddar project : context and motivations . Research . Roadmap. . 3. /17. About scheduling analysis and its use . 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. . Multiprocessor and Real-Time Scheduling. Operating Systems:. Internals and Design Principles, 6/E. William Stallings. Dave Bremer. Otago Polytechnic, N.Z.. ©2008, Prentice Hall. Roadmap. Multiprocessor Scheduling. -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. 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. James H. Anderson. University of North Carolina at Chapel Hill. November 2010. Outline. What. …. is LITMUS. RT. ?. Why. …. was LITMUS. RT. developed?. How. …. do we use LITMUS. RT. ?. Which. 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. 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). Burst Buffer Enabled HPC Clusters. Chunxiao. Liao. 1. Background. High performance storage is critical to achieving computational efficiency on high performance computing (HPC) systems. . Capacity growth of disks continues to outpace increases in their bandwidth. Bulk-synchronous Programming Models on. CPU Architectures. Hee-Seok. Kim. , . Izzat. El Hajj, John Stratton,. Steven . Lumetta. and . Wen-mei. . Hwu. CPU. (Intel, AMD, PowerPC). GPU. (NVIDIA, AMD, Imagination, ARM). 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. Operating Systems:. Internals and Design Principles, 6/E. William Stallings. Patricia Roy. Manatee Community College, Venice, FL. ©2008, Prentice Hall. Aim of Scheduling. Assign processes to be executed by the processor(s). Or multiple packets to send, or web requests to serve, or …. Definitions. response time, throughput, predictability. Uniprocessor. policies. FIFO, round robin, optimal. multilevel feedback as approximation of optimal.