Average customer rating:
- A nice book on machine scheduling
- Excellent literature review, Great Theories But... Expensive
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Scheduling: Theory, Algorithms, and Systems (2nd Edition)
Michael Pinedo
Manufacturer: Prentice Hall
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Binding: Paperback
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Planning and Scheduling in Manufacturing and Services (Springer Series in Operations Research and Financial Engineering)
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ASIN: 0130281387 |
Customer Reviews:
A nice book on machine scheduling.......2001-10-15
Pinedo's book is an excellent reference for almost all problems in machine scheduling. The author is very economic with words and yet the explanations are incredibly clear. I use it for a graduate course in Scheduling that I teach. I often find myself referring to it whenever I need to review some particular class of scheduling problems. There is a chapter on metaheuristics that explains how these methods work - this is a bonus given that the book concentrates on theoretically rigorous methods. What I really like is the fact that step-by-step descriptions of many algorithms are provided, which can be used directly to write computer programs. The interested reader will find results related to structures of many scheduling problems. Overall this is a great book for teaching and research reference purposes. I have read two other texts on scheduling and I must say that this is by far the best.
Excellent literature review, Great Theories But... Expensive.......2000-12-21
Pinedo did an excellent job for compiling the stories of scheduling system. For a new researcher/grad student in scheduling issue, this is the book that you need -before jump to library and search through all journals. The organization is slightly complicate. So readers may need to prepare their study plan before going through the book from cover to cover. I don't own this book, still; just read it from the library. This book deserves 5 or even 6 stars if the price is more affordable. I wish I have it when got a real job after graduation.
Book Description
Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications is a basic treatise on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, illustrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems which can be used to support critical control applications.
This volume serves as a textbook for advanced level courses on the topic. Each chapter provides basic concepts, which are followed by algorithms that are illustrated with concrete examples, figures and tables. Exercises are included with each chapter and solutions are given at the end of the book. The book also provides an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.
Customer Reviews:
Academic value but impractical for implementation.......2006-11-08
Those of us who have been developing dedicated real-time applications need a text to teach less experienced engineers how to decompose real-time problems for effective implementation. This is not that text.
The book is well written. But the author is obsessed with scheduling algorithms and methods for estimating their execution times. This is essentially useless for two reasons: (1) the actual execution times are best controlled by effective application decomposition and (2) real-time applications are nearly always unfinished works; they usually under go numerous enhancements and revisions until they are no longer used at all. As any implementation is revised all the timing considerations must be reworked; we do not have time in the schedule nor money to afford this.
The author gives only scant consideration to determining when to poll for I/O or to use interrupt handlers and driver tasks; he offers no advice for making such determinations. The author does mention semaphores but does not discuss the numerous types of semaphores nor does he consider when/how one should use which kind of semaphore or what alternatives are available. There are similar deficiencies in the consideration of messaging, signals, events, timers, but only scheduling is considered. All of these constructs and their proper/improper use have profound influence on the efficiency of the algorithms implemented.
If you already have determined the "best" application decomposition and you already know how to use the various real-time methods to implement that decomposition and you will not add enhancements in the future and you have verified that your implementation will serve its purpose apart from timing considerations and you have lots of time in your schedule and plenty of money, why then you may investigate algorithm timing.
Still, it is a beautifully written book and a pleasure to read.
Provides practical hard RT techniques based on theory........2000-09-02
Highly recommended. This is the book that I loan to software engineers, computer science new grads (and sometimes not so new grads), that don't understand what hard real-time is, don't understand that it matters, and most importantly, don't understand that real-time performance can be predicted by the appropriate choice of a scheduling policy. By understanding the concepts in this book, the real-time system architect is provided a variety of techniques that can be used to design a system whose timing performance can be analyzed, predicted and guaranteed by proof.
The author presents algorithms to implement aperiodic and periodic task scheduling, fixed- and dynamic-priority servers, resource access policies. He gives practical examples of their application, discusses their drawbacks, and compares them as a function of performance, complexity, memory requirements, etc.. In general the author presents an algorithm by first giving a practical explanation of how the algorithm works, follows this with a schedulability analysis and guarantee of schedulability. Theorems with proofs are introduced as necessary when they are needed as part of the analysis. This is a practical book whose content is based on theoretical foundations. Published references for all algorithms are provided.
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Complex Scheduling (GOR-Publications)
Peter Brucker , and
Sigrid Knust
Manufacturer: Springer
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Binding: Hardcover
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ASIN: 3540295453 |
Book Description
This book presents models and algorithms for complex scheduling problems. Besides resource-constrained project scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed. Discrete optimization methods like linear and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search and genetic algorithms, and dynamic programming are presented. They are used in exact or heuristic procedures to solve the introduced complex scheduling problems. Furthermore, methods for calculating lower bounds are described. Most algorithms are formulated in detail and illustrated with examples.
Average customer rating:
- Synthesis at many levels
- Well-written, informative book
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Synthesis and Optimization of Digital Circuits
Giovanni De Micheli
Manufacturer: McGraw-Hill Science/Engineering/Math
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Logic Synthesis and Verification Algorithms
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ASIN: 0070163332 |
Book Description
This new graduate textbook in computer engineering offers a modern, up-to-date look at computer aided design of VLSI circuits at the functional and logic level by addressing an interesting topic in CAD for digital circuits: design synthesis of detailed specifications from abstract models. Topics covered include hardware modeling, compilation techniques for hardware models, high-level synthesis, logic synthesis, and library mapping algorithms. Course titles include Digital CAD, Advanced Logic Design or Complements of VLSI Design.
Customer Reviews:
Synthesis at many levels.......2006-12-17
De Micheli's book is the most complete reference I know for the aspiring tool-builder,or for the tool-user who wants to know more of what's inside the design and synthesis tools at her desk.
The first hundred pages or so lay out mathematical basics. Graph theory pervades later discussion, so it gets a thorough review in this early section. There's also a little about boolean logic - not the kids' stuff, but a variety of representations, plenty to get the reader's mind set into mathematical orientation of the rest of the book.
Part II, chapters 4-6 are, for me, the real meat of the presentation. They deal with the higher, architectural levels of synthesis, with a strong discussion of scheduling of shared resources. This book predates modern system-on-chip design, so it doesn't get to the level of on-chip busses and networks. The datapath and resource management issues are just as important today as when this book was written, though. And, even if it omits references from the ten-plus years since its writing, it gives today's reader a solid preparation for creating tools on the cutting edge of system synthesis.
The remaining chapters, although thorough and competent, are not in the center of my interests. They deal at length with decomposition of logic and control into gate-level constructs. De Micheli's discussion goes far beyond freshman logic design since, as he points out, "Most classical methods are not practical for circuits of usual size." Chapter 10 goes beyond classic and/or decomposition, and well into the quirks and limitations of real cell libraries. FPGAs are mentioned only briefly - understandable, since they had not acquired the importance given them by the decade-plus of technology shifts since the book was written. A modern successor to this book would probably have a lot more to say about FPGA-based implementation, and would probably address placement and routing issues that De Micheli had no need to address.
Despite its 1994 copyright date, this book is still current and relevant. It gives its reader a broad and rigorous start on industrial-strength synthesis. I recommend this highly to anyone seriously involved in creating tools for logic and system design.
//wiredweird
Well-written, informative book.......2000-08-22
Initially I was surprised to find no reviews for this book, considering the fact that it is widely used as a text in the schools. This book was a recommended text for my graduate course in "Electronic Design Automation". I have read the text, as well as, solved few problems in the exercises. Based on these qualifications, I think this book is very good. It starts with the basics and goes onto explain the advanced algorithms used in design automation. It gives a comprehensive coverage of the subject. For avid problem solvers, the exercises present a challenging oppurtunity. I highly recommend this book for any student of digital circuit design. But, advanced readers may find some topics (especially, formal methods) missing in this book.
Book Description
Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The method used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are updated and summarized. Also the references are updated.
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.
Product Description
This is a AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A746314. The abstract provided by the Pentagon follows: The allocation of processes to processors has long been of interest to engineers. The processor allocation problem considered here assigns multiple applications onto a computing system. With this algorithm researchers could more efficiently examine real-time sensor data like that used by United States Air Force digital signal processing efforts or real-time aerosol hazard detection as examined by the Department of Homeland Security. Different choices for the design of a load balancing algorithm are examined in both the problem and algorithm domains. Evolutionary algorithms are used to find near-optimal solutions. These algorithms incorporate multiobjective coevolutionary and parallel principles to create an effective and efficient algorithm for real- world allocation problems. Three evolutionary algorithms (EA) are developed. The primary algorithm generates a solution to the processor allocation problem. This allocation EA is capable of evaluating objectives in both an aggregate single objective and a Pareto multiobjective manner. The other two EAs are designed for fine turning returned allocation EA solutions. One coevolutionary algorithm is used to optimize the parameters of the allocation algorithm. This meta-EA is parallelized using a coarse-grain approach to improve performance. Experiments are conducted that validate the improved effectiveness of the parallelized algorithm. Pareto multiobjective approach is used to optimize both effectiveness and efficiency objectives.
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Applications of Evolutionary Computing: EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN Kinsale, Ireland, April 3-4, 2002. Proceedings (Lecture Notes in Computer Science)
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback
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ASIN: 3540434321 |
Book Description
This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002.The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.
Book Description
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