A Scheduling Methodology For Computer Operations
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A Scheduling Methodology For Computer Operations
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Author : Kuchibhatla Sundar Das
language : en
Publisher:
Release Date : 1977
A Scheduling Methodology For Computer Operations written by Kuchibhatla Sundar Das and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computer programming categories.
Scheduling Computer Operations
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Author : James E. Bailey
language : en
Publisher: Engineering & Management Press
Release Date : 1984
Scheduling Computer Operations written by James E. Bailey and has been published by Engineering & Management Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computer scheduling categories.
Program Scheduling And Simulation In An Operating System Environment
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Author : bernard lampard
language : en
Publisher: GRIN Verlag
Release Date : 2014-02-03
Program Scheduling And Simulation In An Operating System Environment written by bernard lampard and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-03 with Computers categories.
Research Paper (postgraduate) from the year 2011 in the subject Computer Science - Commercial Information Technology, grade: A, Massachusetts Institute of Technology, language: English, abstract: CPU scheduling is a technique used by computer operating systems to manage the usage of the computer’s central processing unit. In a multi-programming environment whereby several processes are running on the same processor, it is essential to use scheduling criteria to avoid collisions in the computer’s operations. This will help users in a given information technology oriented firm to share server spaces and resources like printers and file storage spaces. In the multi-tasking environment, a program called CPU scheduler selects one of the ready processes and allocates the processor to it. There are a number of occasions when a new process can or must be chosen to run: When a running process block and changes its state to ‘Blocked’, When a timer for a running process expires, When a waiting process unblocks and changes its state to ‘Ready’, and When a running process terminates and changes its state to ‘Exit’ (Wikipedia, 2013). Different types of scheduling programs referred to as algorithms can be employed in CPU scheduling instances. Among the most popular scheduling algorithms is Shortest Job First (SJF). SJF gives the processor to the process with the shortest next time allocation known as the burst. If there are processes with similar CPU bursts in the event queue, the scheduler uses First Come First Served algorithm which allocates the first process to arrive in the queue to the processor regardless of its burst time. It operates under the assumption that the length of the next CPU burst of each of the processes in ready queue is known (CPU scheduling, 2013). The SJF algorithm can be used in both pre-emptive and non-preemptive methods. The algorithm can be preemptive or not. Shortest Job First with preemption uses priority measure to determine the next process to be given the CPU. The processes will be having different CPU bursts and different priority levels allocated to them. The process with the least priority magnitude is always picked next. A process already allocated the processor can be preempted the CPU and allocation done to another process with higher priority when such a process arrives in the queue. SJF with non-preemptive operates in the normal procedure whereby the job with the least CPU burst in the waiting queue is always picked next for allocation of the CPU and the rest of the processes have to wait no matter their urgency. Based on the introduction above, it is essential to use the right CPU scheduling strategy to help us achieve
Scheduling In Industry 4 0 And Cloud Manufacturing
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Author : Boris Sokolov
language : en
Publisher: Springer Nature
Release Date : 2020-06-08
Scheduling In Industry 4 0 And Cloud Manufacturing written by Boris Sokolov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Business & Economics categories.
This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.
Programming And Scheduling Techniques
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Author : Thomas Uher
language : en
Publisher: Routledge
Release Date : 2012-03-29
Programming And Scheduling Techniques written by Thomas Uher and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-29 with Technology & Engineering categories.
Planning is an important management function and its effective execution is crucial to ensure the success of any project. This second edition of Thomas Uher’s and Adam Zantis' textbook maintains its focus on operational rather than strategic aspects of programming and scheduling of projects, providing the reader with the practical planning skills needed to be successful. Unlike most other textbooks that largely focus on the critical path method, Programming and Scheduling Techniques includes a comprehensive review of a range of practices used around the world. Topics covered in this thoroughly revised edition include: deterministic scheduling techniques including the bar chart, the critical path method, the critical chain method, the multiple activity chart and the line of balance a comparison of the critical path and critical chain scheduling techniques options for computer-based scheduling stochastic scheduling techniques including the critical path method based on Monte Carlo simulation and the Program Evaluation and Review Technique (PERT) risk in scheduling work study. By covering a broad range of scheduling techniques this book is suitable for those planning projects in any industry, particularly in interdisciplinary or international contexts. Written for students studying undergraduate and postgraduate architecture, building, construction/project management, quantity surveying, property development and civil engineering programs.
Batch Computer Scheduling A Heuristically Motivated Approach
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Author : Stephen R. Kimbleton
language : en
Publisher:
Release Date : 1974
Batch Computer Scheduling A Heuristically Motivated Approach written by Stephen R. Kimbleton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with categories.
Efficient scheduling of jobs for computer systems is a problem of continuing concern. The applicability of scheduling methodology described in the operations research literature is severely restricted by the dimensionality of job characteristics, the number of distinct resource types comprising a computer system, the non-deterministic nature of the system due to both interprocess interaction and contention, and the existence of a multitude of constraints effecting job initiation times, job completion times, and job interactions. In view of the large number of issues which must be considered in job scheduling, a heuristic approach seems appropriate. This paper describes an initial implementation of such an approach based upon a fast, analytically driven, performance prediction tool.
An Operating System Architecture And Hybrid Scheduling Methodology For Real Time Systems With Uncertainty
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Author : Manoj Shriganesh Apte
language : en
Publisher:
Release Date : 2004
An Operating System Architecture And Hybrid Scheduling Methodology For Real Time Systems With Uncertainty written by Manoj Shriganesh Apte and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer algorithms categories.
Personal computer desktops, and other standardized computer architectures are optimized to provide the best performance for frequently occurring conditions. Real-time systems designed using worst-case analysis for such architectures under-utilize the hardware. This shortcoming provides the motivation for scheduling algorithms that can improve overall utilization by accounting for inherent uncertainty in task execution duration. A real-time task dispatcher must perform its function with constant scheduling overhead. Given the NP-hard nature of the problem of scheduling non-preemptible tasks, dispatch decisions for such systems cannot be made in real-time. This argues for a hybrid architecture that includes an offline policy generator, and an online dispatcher. This dissertation proposes, and demonstrates a hybrid operating system architecture that enables cost-optimal task dispatch on Commercial-Off-The-Shelf (COTS) systems. This is achieved by explicitly accounting for the stochastic nature of each task's execution time, and dynamically learning the system behavior. Decision Theoretic Scheduling (DTS) provides the framework for scheduling under uncertainty. The real-time scheduling problem is cast as a Markov Decision Process (MDP). An offline policy generator discovers an epsilon-optimal policy using value iteration with model learning. For the selected representation of state, action, model, and rewards, the policy discovered using value iteration is proved to have a probability of failure that is less than any arbitrarily small user-specified value. The PromisQoS operating system architecture demonstrates a practical implementation of the proposed approach. PromisQoS is a Linux based platform that supports concurrent execution of time-based (preemptible and non-preemptible) real-time tasks, and best-effort processes on an interactive workstation. Several examples demonstrate that model learning, and scheduling under uncertainty enables PromisQoS to achieve better CPU utilization than other scheduling methods. Real-time task sets that solve practical problems, such as a Laplace solver, matrix multiplication, and transpose, demonstrate the robustness and correctness of PromisQoS design and implementation. This pioneering application demonstrates the feasibility of MDP based scheduling for real-time tasks in practical systems. It also opens avenues for further research into the use of such DTS techniques in real-time system design.
Computer Methods In Operations Research
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Author : Arne Thesen
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Computer Methods In Operations Research written by Arne Thesen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Reference categories.
Computer Methods in Operations Research focuses on the computational methods used in operations research. Topics covered range from list processing to sorting and searching, networks, and critical path methods. Resource-constrained scheduling methods and linear programming methods are also discussed, along with the branch and bound concept. Comprised of 11 chapters, this book begins with a review of some of the basic principles that make a software development effort successful, emphasizing the need to keep things simple and understandable. The reader is then introduced to the basic principles of list processing, searching, and sorting; the concept of networks and several matrix- and list-oriented methods for representing networks in the computer; and the critical path method. Subsequent chapters deal with more complex programs and algorithms to handle scheduling of activities under precedence and resource restrictions; the resource-constrained scheduling problem, formulated both in an exact (using integer programming) and in a heuristic manner; the design of algorithms for the solution of large linear programming problems; and the application of list processing concepts to the development of branch and bound algorithms for solution of combinatorial optimization problems. The book also considers the design of random number generators and discrete event simulation programming before concluding with a description of two programming languages, GPSS and WIDES, for use in simulation modeling. This monograph will be of value to students and practitioners of operations research and industrial engineering.
Scheduling Of Resource Constrained Projects
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Author : Robert Klein
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Scheduling Of Resource Constrained Projects written by Robert Klein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Project management has become a widespread instrument enabling organizations to efficiently master the challenges of steadily shortening product life cycles, global markets and decreasing profit margins. With projects increasing in size and complexity, their planning and control represents one of the most crucial management tasks. This is especially true for scheduling, which is concerned with establishing execution dates for the sub-activities to be performed in order to complete the project. The ability to manage projects where resources must be allocated between concurrent projects or even sub-activities of a single project requires the use of commercial project management software packages. However, the results yielded by the solution procedures included are often rather unsatisfactory. Scheduling of Resource-Constrained Projects develops more efficient procedures, which can easily be integrated into software packages by incorporated programming languages, and thus should be of great interest for practitioners as well as scientists working in the field of project management. The book is divided into two parts. In Part I, the project management process is described and the management tasks to be accomplished during project planning and control are discussed. This allows for identifying the major scheduling problems arising in the planning process, among which the resource-constrained project scheduling problem is the most important. Part II deals with efficient computer-based procedures for the resource-constrained project scheduling problem and its generalized version. Since both problems are NP-hard, the development of such procedures which yield satisfactory solutions in a reasonable amount of computation time is very challenging, and a number of new and very promising approaches are introduced. This includes heuristic procedures based on priority rules and tabu search as well as lower bound methods and branch and bound procedures which can be applied for computing optimal solutions.
Intelligent Scheduling Systems
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Author : Donald E. Brown
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Intelligent Scheduling Systems written by Donald E. Brown and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.