Decision Making in Internet Networks

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The internet is on the way of becoming the principle means of telecommunication. The growing demand for better and reliable on-line services raises issues for managerial and strategic decision processes that often call for sound technical and theoretical solutions. For the last two decades, internet traffic engineering techniques prove to resolve these problems. In this book, we propose efficient mathematical techniques and software tools to solve some critical problems in internet networks. We have designed and developed three generic tools for intra-domain traffic engineering, which we have implemented in an open source software. This software can be downloaded, used and modified freely for general and customized network related purposes. We evaluate the performance of our methods and software using a range of problem instances, in which we demonstrate promising and fruitful results for better and more reliable management of internet networks. This book will be of interest to researchers and graduate students in the area of network optimization and to practitioners, such as internet service providers and large network administrators.

Autorentext

Hakan Ümit obtained his PhD in management science from Université catholique de Louvain in 2009. Previously, he worked as a researcher on network optimization at Bilkent University, McGill University and AT&T Labs Research. He is currently teaching and doing research at the Louvain School of Management, Université catholique de Louvain.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 256g
    • Untertitel Strategic and Operational Techniques and Tools for Intra-domain Traffic Engineering
    • Autor Hakan Ümit
    • Titel Decision Making in Internet Networks
    • Veröffentlichung 03.06.2010
    • ISBN 3838360532
    • Format Kartonierter Einband
    • EAN 9783838360539
    • Jahr 2010
    • Größe H220mm x B150mm x T10mm
    • Anzahl Seiten 160
    • GTIN 09783838360539

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