Distributed Computing And Optimization Techniques

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Distributed Computing and Optimization Techniques

Sudhan Majhi,Rocío Pérez de Prado,Chandrappa Dasanapura Nanjundaiah
Distributed Computing and Optimization Techniques Book PDF

Author : Sudhan Majhi,Rocío Pérez de Prado,Chandrappa Dasanapura Nanjundaiah
Publisher : Springer Nature
Page : 855 pages
File Size : 44,9 Mb
Release : 2022-09-12
Category : Computers
ISBN : 9789811922817

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Distributed Computing and Optimization Techniques by Sudhan Majhi,Rocío Pérez de Prado,Chandrappa Dasanapura Nanjundaiah Pdf

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.

Meta-Heuristic Algorithms for Advanced Distributed Systems

Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Meta Heuristic Algorithms for Advanced Distributed Systems Book PDF

Author : Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 45,6 Mb
Release : 2024-03-12
Category : Computers
ISBN : 9781394188086

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Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani Pdf

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

Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez
Optimization Techniques for Solving Complex Problems Book PDF

Author : Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez
Publisher : John Wiley & Sons
Page : 504 pages
File Size : 55,5 Mb
Release : 2009-02-17
Category : Computers
ISBN : 0470411341

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Optimization Techniques for Solving Complex Problems by Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez Pdf

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.

Resource Management for Big Data Platforms

Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Resource Management for Big Data Platforms Book PDF

Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Publisher : Springer
Page : 516 pages
File Size : 50,9 Mb
Release : 2016-10-27
Category : Computers
ISBN : 9783319448817

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Resource Management for Big Data Platforms by Florin Pop,Joanna Kołodziej,Beniamino Di Martino Pdf

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 Optimization: Advances in Theories, Methods, and Applications

Huaqing Li,Qingguo Lü,Zheng Wang,Xiaofeng Liao,Tingwen Huang
Distributed Optimization Advances in Theories Methods and Applications Book PDF

Author : Huaqing Li,Qingguo Lü,Zheng Wang,Xiaofeng Liao,Tingwen Huang
Publisher : Springer Nature
Page : 243 pages
File Size : 47,8 Mb
Release : 2020-08-04
Category : Technology & Engineering
ISBN : 9789811561092

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Distributed Optimization: Advances in Theories, Methods, and Applications by Huaqing Li,Qingguo Lü,Zheng Wang,Xiaofeng Liao,Tingwen Huang Pdf

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.

Machine Learning and Optimization Models for Optimization in Cloud

Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar
Machine Learning and Optimization Models for Optimization in Cloud Book PDF

Author : Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar
Publisher : CRC Press
Page : 232 pages
File Size : 40,7 Mb
Release : 2022-02-17
Category : Computers
ISBN : 9781000542257

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Machine Learning and Optimization Models for Optimization in Cloud by Punit Gupta,Mayank Kumar Goyal,Sudeshna Chakraborty,Ahmed A Elngar Pdf

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.

Distributed Computing and Internet Technology

Goutam Chakraborty
Distributed Computing and Internet Technology Book PDF

Author : Goutam Chakraborty
Publisher : Springer Science & Business Media
Page : 644 pages
File Size : 45,5 Mb
Release : 2005-12-09
Category : Business & Economics
ISBN : 9783540309994

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Distributed Computing and Internet Technology by Goutam Chakraborty Pdf

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

Javier Del Ser,Eneko Osaba,Miren Nekane Bilbao,Javier J. Sanchez-Medina,Massimo Vecchio,Xin-She Yang
Intelligent Distributed Computing XII Book PDF

Author : Javier Del Ser,Eneko Osaba,Miren Nekane Bilbao,Javier J. Sanchez-Medina,Massimo Vecchio,Xin-She Yang
Publisher : Springer
Page : 448 pages
File Size : 49,7 Mb
Release : 2018-09-14
Category : Technology & Engineering
ISBN : 9783319996264

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Intelligent Distributed Computing XII by Javier Del Ser,Eneko Osaba,Miren Nekane Bilbao,Javier J. Sanchez-Medina,Massimo Vecchio,Xin-She Yang Pdf

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.

Parallel and Distributed Computation: Numerical Methods

Dimitri Bertsekas,John Tsitsiklis
Parallel and Distributed Computation Numerical Methods Book PDF

Author : Dimitri Bertsekas,John Tsitsiklis
Publisher : Athena Scientific
Page : 832 pages
File Size : 53,5 Mb
Release : 2015-03-01
Category : Mathematics
ISBN : 9781886529151

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Parallel and Distributed Computation: Numerical Methods by Dimitri Bertsekas,John Tsitsiklis Pdf

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.

Solutions to Parallel and Distributed Computing Problems

Albert Y. Zomaya,Fikret Ercal,Stephan Olariu
Solutions to Parallel and Distributed Computing Problems Book PDF

Author : Albert Y. Zomaya,Fikret Ercal,Stephan Olariu
Publisher : Wiley-Interscience
Page : 296 pages
File Size : 49,5 Mb
Release : 2000-11-14
Category : Computers
ISBN : STANFORD:36105028662323

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Solutions to Parallel and Distributed Computing Problems by Albert Y. Zomaya,Fikret Ercal,Stephan Olariu Pdf

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

Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment

Abhishek Bhattacharya,Tanusree Chatterjee
Goal Programming Based Multi Objective Optimization Techniques of Task Allocation in Distributed Environment Book PDF

Author : Abhishek Bhattacharya,Tanusree Chatterjee
Publisher : Lulu.com
Page : 70 pages
File Size : 47,5 Mb
Release : 2014
Category : Technology & Engineering
ISBN : 9781304807670

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Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment by Abhishek Bhattacharya,Tanusree Chatterjee Pdf

In a distributed computing system (DCS), we need to allocate a number of tasks to different processors for execution. The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations and to accomplish various objectives, such as throughput maximization, reliability maximization, and cost minimization. There are also exists a set of system constraints related to memory and communication link capacity. Most of the existing approaches for task allocation deal with a single objective only. In this project we construct the task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with pre-emptive priority structure to find the optimal allocation that not only optimize system reliability but also optimize memory as well as path load. The genetic algorithm is used to find the optimal allocations. Genetic algorithm is used to find the optimal allocations.

Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference

Esteban Jove,Francisco Zayas-Gato,Álvaro Michelena,José Luis Calvo-Rolle
Distributed Computing and Artificial Intelligence Special Sessions II Intelligent Systems Applications 20th International Conference Book PDF

Author : Esteban Jove,Francisco Zayas-Gato,Álvaro Michelena,José Luis Calvo-Rolle
Publisher : Springer Nature
Page : 93 pages
File Size : 49,6 Mb
Release : 2023-07-19
Category : Technology & Engineering
ISBN : 9783031386169

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Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference by Esteban Jove,Francisco Zayas-Gato,Álvaro Michelena,José Luis Calvo-Rolle Pdf

This book of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Guimarães (Portugal), July 2023. ISA is a major forum for presentation of development and applications of innovative techniques in the fields of building management, assistive technologies, the applied engineering, and industry. The scientific committee of the ISA has selected 8 full papers for its publication. This year ISA Special Session has teamed up with “Logic Journal of the IGPL” (Oxford University Press) for one special issue including selected papers from ISA Special Session 2023. We would like to thank all the contributing authors, the members of the Program Committee, the Organizing Committee of the Universities of Minho, and Salamanca for their hard and highly valuable work, which has been essential for the success of ISA 2023.

Computational Methods for Optimizing Distributed Systems

Charles Teo
Computational Methods for Optimizing Distributed Systems Book PDF

Author : Charles Teo
Publisher : Academic Press
Page : 316 pages
File Size : 53,7 Mb
Release : 1984-08-21
Category : Computers
ISBN : 9780080956787

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Computational Methods for Optimizing Distributed Systems by Charles Teo Pdf

Optimal control theory of distributed parameter systems has been a very active field in recent years; however, very few books have been devoted to the studiy of computational algorithms for solving optimal control problems. For this rason the authors decided to write this book. Because the area is so broad, they confined themselves to optimal control problems involving first and second boundary-value problems of a linear second-order parabolic partial differential equation. However the techniques used are by no means restricted to these problems. They can be and in some cases already have been applied to problems involving other types of distributed parameter system. The authors aim is to devise computational algorithms for solving optimal control problems with particular emphasis on the mathematical theory underlying the algorithms. These algorithms are obtained by using a first-order strong variational method or gradient-type methods.

Parallel and Distributed Processing

Jose Rolim
Parallel and Distributed Processing Book PDF

Author : Jose Rolim
Publisher : Springer Science & Business Media
Page : 1194 pages
File Size : 55,7 Mb
Release : 1998-03-18
Category : Computers
ISBN : 3540643591

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Parallel and Distributed Processing by Jose Rolim Pdf

This book constitutes the refereed proceedings of 10 international workshops held in conjunction with the merged 1998 IPPS/SPDP symposia, held in Orlando, Florida, US in March/April 1998. The volume comprises 118 revised full papers presenting cutting-edge research or work in progress. In accordance with the workshops covered, the papers are organized in topical sections on reconfigurable architectures, run-time systems for parallel programming, biologically inspired solutions to parallel processing problems, randomized parallel computing, solving combinatorial optimization problems in parallel, PC based networks of workstations, fault-tolerant parallel and distributed systems, formal methods for parallel programming, embedded HPC systems and applications, and parallel and distributed real-time systems.

High-Performance Computing on Complex Environments

Emmanuel Jeannot,Julius Zilinskas
High Performance Computing on Complex Environments Book PDF

Author : Emmanuel Jeannot,Julius Zilinskas
Publisher : John Wiley & Sons
Page : 512 pages
File Size : 45,6 Mb
Release : 2014-06-03
Category : Computers
ISBN : 9781118712054

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High-Performance Computing on Complex Environments by Emmanuel Jeannot,Julius Zilinskas Pdf

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