Linear Programming and Algorithms for Communication Networks

Author: Eiji Oki
Publisher: CRC Press
ISBN: 1466552638
Format: PDF
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Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation in communication networks. From the basics all the way through to more advanced concepts, its comprehensive coverage provides readers with a solid foundation in mathematical programming for communication networks. Addressing optimization problems for communication networks, including the shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear programming required to address a wide range of problems. It also: Examines several problems on finding disjoint paths for reliable communications Addresses optimization problems in optical wavelength-routed networks Describes several routing strategies for maximizing network utilization for various traffic-demand models Considers routing problems in Internet Protocol (IP) networks Presents mathematical puzzles that can be tackled by integer linear programming (ILP) Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides algorithms for these problems as well as helpful examples with demonstrations. Once you gain an understanding of how to solve LP problems for communication networks using the GLPK descriptions in this book, you will also be able to easily apply your knowledge to other solvers.

Identification and Management of Distributed Data

Author: Giovanni Bartolomeo
Publisher: CRC Press
ISBN: 1439879087
Format: PDF, ePub
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Although several books and academic courses discuss data management and networking, few of them focus on the convergence of networking and software technologies for identifying, addressing, and managing distributed data. Focusing on this convergence, Identification and Management of Distributed Data: NGN, Content-Centric Networks and the Web collates and describes the various distributed data management technologies to help readers from various backgrounds understand the common aspects that govern distributed data management. With a focus on the primary problems in identifying, addressing, and managing information in a distributed environment, the book guides you through the discovery of distributed data management on the web, in next-generation networks (NGNs), and in new content-centric networking paradigms. It includes case studies from the Palo Alto Research Center and the Semantic Web Education and Outreach Interest Group that illustrate the convergence between software engineering and networking technologies. Derived from academic courses, ongoing research, and the latest standardization initiatives, the book explains how the various layers of the existing Internet protocol stack already provide most of the functions that information engineers need to design efficient systems. Although the subject is broad, the book provides helpful insights into a number of critical technologies to provide you with the foundation required to build and deploy more efficient data interoperability paradigms in next-generation networks.

Catalogs of Courses

Author: University of California, Berkeley
Format: PDF, ePub, Mobi
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Includes general and summer catalogs issued between 1878/1879 and 1995/1997.