Distributed Computing And Optimization Techniques

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Optimization Techniques for Solving Complex Problems

Author : Enrique Alba
Publisher : John Wiley & Sons
ISBN 13 : 0470293322
Total Pages : 500 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Optimization Techniques for Solving Complex Problems by : Enrique Alba

Download or read book Optimization Techniques for Solving Complex Problems written by Enrique Alba and published by John Wiley & Sons. This book was released on 2009-03-23 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

Distributed Computing and Optimization Techniques

Author : Sudhan Majhi
Publisher : Springer Nature
ISBN 13 : 9811922810
Total Pages : 855 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Distributed Computing and Optimization Techniques by : Sudhan Majhi

Download or read book Distributed Computing and Optimization Techniques written by Sudhan Majhi and published by Springer Nature. This book was released on 2022-09-12 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

Distributed Optimization: Advances in Theories, Methods, and Applications

Author : Huaqing Li
Publisher : Springer Nature
ISBN 13 : 9811561095
Total Pages : 243 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Distributed Optimization: Advances in Theories, Methods, and Applications by : Huaqing Li

Download or read book Distributed Optimization: Advances in Theories, Methods, and Applications written by Huaqing Li and published by Springer Nature. This book was released on 2020-08-04 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.

Parallel and Distributed Computation: Numerical Methods

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529159
Total Pages : 832 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Parallel and Distributed Computation: Numerical Methods by : Dimitri Bertsekas

Download or read book Parallel and Distributed Computation: Numerical Methods written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2015-03-01 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.

Meta-Heuristic Algorithms for Advanced Distributed Systems

Author : Rohit Anand
Publisher : John Wiley & Sons
ISBN 13 : 1394188080
Total Pages : 469 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Meta-Heuristic Algorithms for Advanced Distributed Systems by : Rohit Anand

Download or read book Meta-Heuristic Algorithms for Advanced Distributed Systems written by Rohit Anand and published by John Wiley & Sons. This book was released on 2024-03-12 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Optimization Techniques for Solving Complex Problems

Author : Enrique Alba
Publisher : John Wiley & Sons
ISBN 13 : 9780470411346
Total Pages : 504 pages
Book Rating : 4.4/5 (113 download)

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Book Synopsis Optimization Techniques for Solving Complex Problems by : Enrique Alba

Download or read book Optimization Techniques for Solving Complex Problems written by Enrique Alba and published by John Wiley & Sons. This book was released on 2009-02-17 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Author : Stephen Boyd
Publisher : Now Publishers Inc
ISBN 13 : 160198460X
Total Pages : 138 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers by : Stephen Boyd

Download or read book Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.

Machine Learning and Optimization Models for Optimization in Cloud

Author : Punit Gupta
Publisher : CRC Press
ISBN 13 : 1000542254
Total Pages : 232 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning and Optimization Models for Optimization in Cloud by : Punit Gupta

Download or read book Machine Learning and Optimization Models for Optimization in Cloud written by Punit Gupta and published by CRC Press. This book was released on 2022-02-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

Resource Management for Big Data Platforms

Author : Florin Pop
Publisher : Springer
ISBN 13 : 3319448811
Total Pages : 516 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Resource Management for Big Data Platforms by : Florin Pop

Download or read book Resource Management for Big Data Platforms written by Florin Pop and published by Springer. This book was released on 2016-10-27 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Distributed Computing and Internet Technology

Author : Goutam Chakraborty
Publisher : Springer Science & Business Media
ISBN 13 : 3540309993
Total Pages : 644 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Distributed Computing and Internet Technology by : Goutam Chakraborty

Download or read book Distributed Computing and Internet Technology written by Goutam Chakraborty and published by Springer Science & Business Media. This book was released on 2005-12-09 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Distributed Computing and Internet Technology, ICDCIT 2005, held in Bhubaneswar, India in December 2005. The 40 revised full papers and 19 revised short papers presented together with 2 invited plenary talks were carefully reviewed and selected from 426 submissions. Covering the main areas distributed computing, internet technology, system security, data mining, and software engineering the papers are subdivided in topical sections on network protcols, routing in mobile ad hoc network, communication and coverage in wireless networks, secured communication in distributed systems, query and transaction processing, theory of distributed systems, grid computing, internet search and query, e-commerce, browsing and analysis of Web elements, theory of secured systems, intrusion detection and ad hoc network security, secured systems techniques, software architecture, software optimization and reliability, formal methods, data clustering techniques, and multidimensional data mining.

Intelligent Distributed Computing XII

Author : Javier Del Ser
Publisher : Springer
ISBN 13 : 3319996266
Total Pages : 448 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Intelligent Distributed Computing XII by : Javier Del Ser

Download or read book Intelligent Distributed Computing XII written by Javier Del Ser and published by Springer. This book was released on 2018-09-14 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.

Models for Parallel and Distributed Computation

Author : R. Correa
Publisher : Springer Science & Business Media
ISBN 13 : 1475736096
Total Pages : 334 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Models for Parallel and Distributed Computation by : R. Correa

Download or read book Models for Parallel and Distributed Computation written by R. Correa and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.

Optimization Theory for Large Systems

Author : Leon S. Lasdon
Publisher : Courier Corporation
ISBN 13 : 0486143694
Total Pages : 1012 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis Optimization Theory for Large Systems by : Leon S. Lasdon

Download or read book Optimization Theory for Large Systems written by Leon S. Lasdon and published by Courier Corporation. This book was released on 2013-01-17 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.

Distributed Computing

Author : David Peleg
Publisher : SIAM
ISBN 13 : 0898714648
Total Pages : 338 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Distributed Computing by : David Peleg

Download or read book Distributed Computing written by David Peleg and published by SIAM. This book was released on 2000-01-01 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gives a thorough exposition of network spanners and other locality-preserving network representations such as sparse covers and partitions.

Software Optimization for High-performance Computing

Author : Kevin R. Wadleigh
Publisher : Prentice Hall Professional
ISBN 13 : 9780130170088
Total Pages : 414 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Software Optimization for High-performance Computing by : Kevin R. Wadleigh

Download or read book Software Optimization for High-performance Computing written by Kevin R. Wadleigh and published by Prentice Hall Professional. This book was released on 2000 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hands-on guide to high-performance coding and algorithm optimization. This hands-on guide to software optimization introduces state-of-the-art solutions for every key aspect of software performance - both code-based and algorithm-based. Two leading HP software performance experts offer comparative optimization strategies for RISC and for the new Explicitly Parallel Instruction Computing (EPIC) design used in Intel IA-64 processors. Using many practical examples, they offer specific techniques for: Predicting and measuring performance - and identifying your best optimization opportunities Storage optimization: cache, system memory, virtual memory, and I/0 Parallel processing: distributed-memory and shared-memory (SMP and ccNUMA) Compilers and loop optimization Enhancing parallelism: compiler directives, threads, and message passing Mathematical libraries and algorithms Whether you're a developer, ISV, or technical researcher, if you need to optimize high-performance software on today's leading processors, one book delivers the advanced techniques and code examples you need: Software Optimization for High Performance Computing.

Solutions to Parallel and Distributed Computing Problems

Author : Albert Y. Zomaya
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Solutions to Parallel and Distributed Computing Problems by : Albert Y. Zomaya

Download or read book Solutions to Parallel and Distributed Computing Problems written by Albert Y. Zomaya and published by Wiley-Interscience. This book was released on 2000-11-14 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving problems in parallel and distributed computing through the use of bioinspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, genetic algorithms, or evolutionary computer models increasingly being harnessed for problem solving in parallel and distributed computing. Solutions to Parallel and Distributed Computing Problems presents a comprehensive review of the state of the art in the field, providing researchers and practitioners with critical information on the use of bio-inspired techniques for improving software and hardware design in high-performance computing. Through contributions from top leaders in the field, this important book brings together current research results, exploring some of the most intriguing and cutting-edge topics from the world of biocomputing, including: Parallel and distributed computing of cellular automata and evolutionary algorithms How the speedup of bio-inspired algorithms will help their applicability in a wide range of problems Solving problems in parallel simulation through such techniques as simulated annealing algorithms and genetic algorithms Techniques for solving scheduling and load-balancing problems in parallel and distributed computers Applying neural networks for problem solving in wireless communication systems

High-Performance Computing on Complex Environments

Author : Emmanuel Jeannot
Publisher : John Wiley & Sons
ISBN 13 : 1118712072
Total Pages : 512 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis High-Performance Computing on Complex Environments by : Emmanuel Jeannot

Download or read book High-Performance Computing on Complex Environments written by Emmanuel Jeannot and published by John Wiley & Sons. This book was released on 2014-04-10 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and programmed has drastically changed. It is important to provide a comprehensive study on how to use such machines written by specialists of the domain. The book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems, detailed studies on the impact of applying heterogeneous computing practices to real problems, and applications varying from remote sensing to tomography. The content spans topics such as Numerical Analysis for Heterogeneous and Multicore Systems; Optimization of Communication for High Performance Heterogeneous and Hierarchical Platforms; Efficient Exploitation of Heterogeneous Architectures, Hybrid CPU+GPU, and Distributed Systems; Energy Awareness in High-Performance Computing; and Applications of Heterogeneous High-Performance Computing. • Covers cutting-edge research in HPC on complex environments, following an international collaboration of members of the ComplexHPC • Explains how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems • Twenty-three chapters and over 100 illustrations cover domains such as numerical analysis, communication and storage, applications, GPUs and accelerators, and energy efficiency