Scheduling Of Large Scale Virtualized Infrastructures

Author: Flavien Quesnel
Publisher: John Wiley & Sons
ISBN: 1118790316
Size: 59.38 MB
Format: PDF, Kindle
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Scheduling Of Large Scale Virtualized Infrastructures from the Author: Flavien Quesnel. System virtualization has become increasingly common in distributed systems because of its functionality and convenience for the owners and users of these infrastructures. In Scheduling of Large-scale Virtualized Infrastructures, author Flavien Quesnel examines the management of large-scale virtual infrastructures with an emphasis on scheduling up to 80,000 virtual machines on 8,000 nodes. The text fills a need for updated software managing to meet the increasing size of virtual infrastructures. Virtual machine managers and virtual operators will appreciate this guide to improvement in cooperative software management.

Metaheuristics For Big Data

Author: Clarisse Dhaenens
Publisher: John Wiley & Sons
ISBN: 1119347602
Size: 21.13 MB
Format: PDF, Docs
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Metaheuristics For Big Data from the Author: Clarisse Dhaenens. Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.

Visual Inspection Technology In The Hard Disc Drive Industry

Author: Paisarn Muneesawang
Publisher: John Wiley & Sons
ISBN: 1119058732
Size: 30.31 MB
Format: PDF, ePub, Docs
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Visual Inspection Technology In The Hard Disc Drive Industry from the Author: Paisarn Muneesawang. A presentation of the use of computer vision systems to control manufacturing processes and product quality in the hard disk drive industry. Visual Inspection Technology in the Hard Disk Drive Industry is an application-oriented book borne out of collaborative research with the world’s leading hard disk drive companies. It covers the latest developments and important topics in computer vision technology in hard disk drive manufacturing, as well as offering a glimpse of future technologies.

Guided Randomness In Optimization

Author: Maurice Clerc
Publisher: John Wiley & Sons
ISBN: 1119136458
Size: 50.58 MB
Format: PDF, ePub
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Guided Randomness In Optimization from the Author: Maurice Clerc. The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

Metaheuristics For Vehicle Routing Problems

Author: Nacima Labadie
Publisher: John Wiley & Sons
ISBN: 1848218117
Size: 30.60 MB
Format: PDF, Mobi
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Metaheuristics For Vehicle Routing Problems from the Author: Nacima Labadie. This book is dedicated to metaheuristics as applied to vehicle routing problems. Several implementations are given as illustrative examples, along with applications to several typical vehicle routing problems. As a first step, a general presentation intends to make the reader more familiar with the related field of logistics and combinatorial optimization. This preamble is completed with a description of significant heuristic methods classically used to provide feasible solutions quickly, and local improvement moves widely used to search for enhanced solutions. The overview of these fundamentals allows appreciating the core of the work devoted to an analysis of metaheuristic methods for vehicle routing problems. Those methods are exposed according to their feature of working either on a sequence of single solutions, or on a set of solutions, or even by hybridizing metaheuristic approaches with others kind of methods.

Metaheuristics For Air Traffic Management

Author: Nicolas Durand
Publisher: John Wiley & Sons
ISBN: 1848218109
Size: 72.87 MB
Format: PDF, Kindle
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Metaheuristics For Air Traffic Management from the Author: Nicolas Durand. Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems. The book models various complex Air Traffic Management problems such as airport taxiing, departure slot allocation, en route conflict resolution, airspace and route design. The authors detail the operational context and state of art for each problem. They introduce different approaches using metaheuristics to solve these problems and when possible, compare their performances to existing approaches

Data Mining And Machine Learning In Building Energy Analysis

Author: Frédéric Magoules
Publisher: John Wiley & Sons
ISBN: 1118577590
Size: 55.87 MB
Format: PDF
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Data Mining And Machine Learning In Building Energy Analysis from the Author: Frédéric Magoules. Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

Parallel Scientific Computing

Author: Frédéric Magoules
Publisher: John Wiley & Sons
ISBN: 1118761723
Size: 61.36 MB
Format: PDF, ePub, Mobi
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Parallel Scientific Computing from the Author: Frédéric Magoules. Scientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology, finance and industry. For example, it enables us, thanks to efficient algorithms adapted to current computers, to simulate, without the help of models or experimentations, the deflection of beams in bending, the sound level in a theater room or a fluid flowing around an aircraft wing. This book presents the scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems; these problems result from systems modeled by partial differential equations. Computing concepts will be tackled via examples. Implementation and programming techniques resulting from the finite element method will be presented for direct solvers, iterative solvers and domain decomposition methods, along with an introduction to MPI and OpenMP.

Metaheuristics For Logistics

Author: Laurent Deroussi
Publisher: John Wiley & Sons
ISBN: 1119136660
Size: 71.90 MB
Format: PDF
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Metaheuristics For Logistics from the Author: Laurent Deroussi. This book describes the main classical combinatorial problems that can be encountered when designing a logistics network or driving a supply chain. It shows how these problems can be tackled by metaheuristics, both separately and using an integrated approach. A huge number of techniques, from the simplest to the most advanced ones, are given for helping the reader to implement efficient solutions that meet its needs. A lot of books have been written about metaheuristics (methods for solving hard optimization problems) and supply chain management (the field in which we find a huge number of combinatorial optimization problems) in the last decades. So, the main reason of this book is to describe how these methods can be implemented for this class of problems.

Evolutionary Algorithms

Author: Alain Petrowski
Publisher: John Wiley & Sons
ISBN: 1119136415
Size: 21.96 MB
Format: PDF, Mobi
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Evolutionary Algorithms from the Author: Alain Petrowski. Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.