Jan Weglarz

Günter Schmidt

Jacek Blazewicz

Klaus H. Ecker

Erwin Pesch

This book is a continuation of Scheduling in Computer and Manufacturing Sys tems 1, two editions of which have received kind acceptance of a wide readership. As the previous position, it is the result of a collaborative German-Polish project which has been partially supported by Committee for Scientific Research 2 and DFG. We appreciate this help. We decided to treat this work as a new book rather than the third edition of the previous one due to two important reasons. First of all, the contents has been changed significantly. This concerns not only corrections we have introduced following the suggestions made by many readers (we are very grateful to all of them!) and taking into account our own experience, but first of all this means that important new material has been added. In particular, in the introductory part the ideas of new local search heuristics, i. e. generally applicable global optimization strategies with a simple capability of learning (ejection chains, genetic algo rithms) have been presented. In the framework of parallel processor scheduling, topics of imprecise computations and lot size scheduling have been studied. Further on flow shop and job shop scheduling problems have been studied much more extensively, both from the viewpoint of exact algorithms as well as heuris tics.

Scheduling Computer and Manufacturing Processes

Jacek Błażewicz

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.

This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

From Theory to Applications

Handbook on Scheduling

Malgorzata Sterna

From Theory to Practice

Jarek Nabrzyski

Jennifer M. Schopf

Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible. While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals. These are the issues addressed in this book, in addition to elucidating the overlap with related areas including discussions of work with peer-to-peer computing, economic approaches, and operations research. Grid Resource Management: State of the Art and Future Trends is an invaluable resource for today's user, application developer, or resource owners when working with Grid resource management systems.

State of the Art and Future Trends

Grid Resource Management

Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible. While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals.

Joanna Jozefowska

This book surveys the current state-of-the-art in operations research. The book summarizes the current developments and theoretical achievements in the field, including project uncertainty and grid resource management. It further covers the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources.

Jan Weglarz

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