PPT-Job Scheduling

Fourie Joubert Very often you may want a job to run once at a certain time or to run regularly at a certain time Linux has different ways for these scenarios at a t is designed to run a job once at a certain time. 1 Pro 1 Pro 4 Pro 7 Pro 10 12 Pro 13 15 Pro 16 18 Pro 19 21 10 Pro 22 24 11 1 Kgs 5 6 2 Chr 2 12 1 Kgs 7 2 Chr 4 13 1 Kgs 8 2 Chr 5 14 2 Chr 6 7 Ps 136 15 Ps 134 Ps 146 150 16 1 Kgs 9 2 Chr 8 17 Pro 25 26 18 Pro 27 29 19 Eccl 1 20 Eccl 7 12 21 1 Kgs of Heterogonous Earliest Finish Time (HEFT) Algorithm . Kevin . Tzeng. Task Scheduling for Heterogeneous Computing . Similar to . R|pmtn|Cmax. , but without preemptions and with precedence constraints. 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. . Operations Management. Dr. Ron . Lembke. Kinds of Scheduling. Job shop scheduling. Personnel scheduling. Facilities scheduling. Vehicle scheduling. Vendor scheduling. Project scheduling. Dynamic vs. static 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. 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. Chapter 15 –. . Scheduling. Operations Management. by. R. Dan Reid & Nada R. Sanders. 4th Edition © Wiley 2010. © Wiley 2010. 2. Learning Objectives. Explain the different kinds of scheduling operations. 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. Robert . Grandl. , University of Wisconsin—Madison; . Mosharaf. Chowdhury, University of Michigan; Aditya . Akella. , University of Wisconsin—Madison; Ganesh . Ananthanarayanan. , Microsoft. Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). 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. 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?. CHASE | SHANKAR | JACOBS. 14e. Work Center Scheduling. Chapter Twenty-Two. Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.. McGraw-Hill/Irwin. Learning Objectives. LO22-1: Explain work center scheduling.. 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.