Scheduling Computer Operations


Book Description







Scheduling of Resource-Constrained Projects


Book Description

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.







Program scheduling and simulation in an operating system environment


Book Description

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 Computer and Manufacturing Processes


Book Description

Written in a clear and concise manner this book provides a theoretical and application oriented analysis of deterministic scheduling problems arising in computer and manufacturing environments. Various scheduling problems are discussed where different problem parameters such as task processing times, urgency weights, arrival times, deadlines, precedence constraints, and processor speed factor are involved. Polynomial and exponential time optimization algorithms as well as approximation and heuristic approaches are presented and discussed. Moreover, resource-constrained, imprecise computation, flexible flow shop and dynamic job shop scheduling, as well as flexible manufacturing systems, are considered. An excellent analysis based on real-world applications with plenty of examples.




Handbook of Scheduling


Book Description

Researchers in management, industrial engineering, operations, and computer science have intensely studied scheduling for more than 50 years, resulting in an astounding body of knowledge in this field. Handbook of Scheduling: Algorithms, Models, and Performance Analysis, the first handbook on scheduling, provides full coverage of the most recent and advanced topics on the subject. It assembles researchers from all relevant disciplines in order to facilitate cross-fertilization and create new scheduling insights. The book comprises six major parts, each of which breaks down into smaller chapters: · Part I introduces materials and notation, with tutorials on complexity theory and algorithms for the minimization of makespan, total completion time, dual objectives, maximum lateness, the number of late jobs, and total tardiness. · Part II is devoted to classical scheduling problems. · Part III explores scheduling models that originate in computer science, operations research, and management science. · Part IV examines scheduling problems that arise in real-time systems, focusing on meeting hard deadline constraints while maximizing machine utilization. · Part V discusses stochastic scheduling and queueing networks, highlighting jobs that are not deterministic. · Part VI covers applications, discussing scheduling problems in airline, process, and transportation industries, as well as in hospitals and educational institutions.




Hard Real-Time Computing Systems


Book Description

This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.




Just-in-Time Scheduling


Book Description

As supply chain management has matured, maintaining the precise flow of goods to manage schedules (and minimize inventories) on a just-in-time basis still presents major challenges. This has inspired an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements. This is the first survey of the theoretical work on computer systems models and algorithms utilized in just-in-time scheduling.




Scheduling


Book Description

This new edition of the well established text Scheduling - Theory, Algorithms, and Systems provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world. It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems. The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling in practice; it covers heuristics that are popular with practitioners and discusses system design and implementation issues. All three parts of this new edition have been revamped and streamlined. The references have been made completely up-to-date. Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations research, industrial engineering, and computer science will find the book an accessible and invaluable resource. Scheduling - Theory, Algorithms, and Systems will serve as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments. Reviews of third edition: This well-established text covers both the theory and practice of scheduling. The book begins with motivating examples and the penultimate chapter discusses some commercial scheduling systems and examples of their implementations." (Mathematical Reviews, 2009)