Optimization Of Computer Networks
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| Author | : Pablo Pavón Mariño |
| Publisher | : John Wiley & Sons |
| Total Pages | : 399 |
| Release | : 2016-05-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1119013356 |
This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).
| Author | : Pablo Pavón Mariño |
| Publisher | : John Wiley & Sons |
| Total Pages | : 400 |
| Release | : 2016-03-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1119013348 |
This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).
| Author | : Pablo Pavón Mariño |
| Publisher | : John Wiley & Sons |
| Total Pages | : 400 |
| Release | : 2016-03-28 |
| Genre | : Technology & Engineering |
| ISBN | : 111901333X |
This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).
| Author | : Yezid Donoso |
| Publisher | : CRC Press |
| Total Pages | : 472 |
| Release | : 2016-04-19 |
| Genre | : Computers |
| ISBN | : 1420013629 |
Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, and packet loss ratio. It is necessary to design an
| Author | : Dimitri P. Bertsekas |
| Publisher | : MIT Press |
| Total Pages | : 384 |
| Release | : 1991 |
| Genre | : Business & Economics |
| ISBN | : 9780262023344 |
Linear Network Optimization presents a thorough treatment of classical approaches to network problems such as shortest path, max-flow, assignment, transportation, and minimum cost flow problems.
| Author | : Gerard Sierksma |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 194 |
| Release | : 2009-12-11 |
| Genre | : Business & Economics |
| ISBN | : 1441955135 |
One of the most well-known of all network optimization problems is the shortest path problem, where a shortest connection between two locations in a road network is to be found. This problem is the basis of route planners in vehicles and on the Internet. Networks are very common structures; they consist primarily of a ?nite number of locations (points, nodes), together with a number of links (edges, arcs, connections) between the locations. Very often a certain number is attached to the links, expressing the distance or the cost between the end points of that connection. Networks occur in an extremely wide range of applications, among them are: road networks; cable networks; human relations networks; project scheduling networks; production networks; distribution networks; neural networks; networks of atoms in molecules. In all these cases there are “objects” and “relations” between the objects. A n- work optimization problem is actually nothing else than the problem of ?nding a subset of the objects and the relations, such that a certain optimization objective is satis?ed.
| Author | : My T. Thai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 539 |
| Release | : 2011-11-25 |
| Genre | : Mathematics |
| ISBN | : 1461408571 |
Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Optimization of complex communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology.
| Author | : Ding-zhu Du |
| Publisher | : World Scientific |
| Total Pages | : 417 |
| Release | : 1993-04-27 |
| Genre | : |
| ISBN | : 9814504580 |
In the past few decades, there has been a large amount of work on algorithms for linear network flow problems, special classes of network problems such as assignment problems (linear and quadratic), Steiner tree problem, topology network design and nonconvex cost network flow problems.Network optimization problems find numerous applications in transportation, in communication network design, in production and inventory planning, in facilities location and allocation, and in VLSI design.The purpose of this book is to cover a spectrum of recent developments in network optimization problems, from linear networks to general nonconvex network flow problems./a
| Author | : Robert Cahn |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 474 |
| Release | : 1998-05 |
| Genre | : Computers |
| ISBN | : 9781558604582 |
As the cost of building and upgrading complex, large-scale networks skyrockets, carefully crafted network designs become critical- a savings of as little as 5% in your network can amount to tens of thousands of dollars per month. Wide Area Network Design: Concepts and Tools for Optimization provides the information you need to tackle the challenges of designing a network that meets your performance goals within the cost constraints of your organization. If you are considering public service alternatives such as frame relay, designing your own network with the tools provided in this book will empower you to estimate cost savings and evaluate bids from competing carriers. Intended for network designers, planners, and architects, this book enables you to estimate traffic flows and requirements in your network and explains how to use various algorithms to design a network which must meets these requirements. Features: Presents underlying design principles to help you understand emerging and future networking protocols and technologies Provides cost and traffic generators for estimating these parameters in your network Introduces the unique IncreMENTOR algorithm which can help avert disaster when the traffic flows in your network have changed
| Author | : Mitsuo Gen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 692 |
| Release | : 2008-07-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1848001819 |
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.
