TY - BOOK ID - 5383874 TI - Routing, flow, and capacity design in communication and computer networks AU - Pióro, Michał. AU - Medhi, Deepankar. PY - 2004 SN - 9780125571890 0125571895 9786611019860 1281019860 0080516432 141753723X 9781417537235 1592782493 9781592782499 9780080516431 9781281019868 PB - Amsterdam ; Boston : Elsevier/Morgan Kaufmann, DB - UniCat KW - Computer networks. KW - Telecommunication KW - Routers (Computer networks) KW - Computer architecture. KW - Réseaux d'ordinateurs KW - Télécommunications KW - Routeurs (Réseaux d'ordinateurs) KW - Ordinateurs KW - Traffic. KW - Trafic KW - Architecture KW - Computer networks KW - Computer architecture KW - Traffic KW - Routers (Computer networks). KW - Réseaux d'ordinateurs KW - Télécommunications KW - Routeurs (Réseaux d'ordinateurs) KW - Architecture, Computer KW - Network routers KW - Routing (Computer network management) KW - Telecommunication traffic KW - Teletraffic KW - Traffic engineering (Telecommunication) KW - Traffic theory (Telecommunication) KW - Communication systems, Computer KW - Computer communication systems KW - Data networks, Computer KW - ECNs (Electronic communication networks) KW - Electronic communication networks KW - Networks, Computer KW - Teleprocessing networks KW - Data transmission systems KW - Digital communications KW - Electronic systems KW - Information networks KW - Cyberinfrastructure KW - Electronic data processing KW - Network computers KW - Equipment and supplies KW - Distributed processing KW - Tecnologías de Acceso a Red (40153319) KW - Bibliografía recomendada KW - Telecommunication - Traffic KW - Analyse de systemes + conception de systemes - informatique KW - Reseaux/de telecommunications KW - Transmission de donnees - informatique UR - https://www.unicat.be/uniCat?func=search&query=sysid:5383874 AB - In network design, the gap between theory and practice is woefully broad. This book narrows it, comprehensively and critically examining current network design models and methods. You will learn where mathematical modeling and algorithmic optimization have been under-utilized. At the opposite extreme, you will learn where they tend to fail to contribute to the twin goals of network efficiency and cost-savings. Most of all, you will learn precisely how to tailor theoretical models to make them as useful as possible in practice.Throughout, the authors focus on the traffic demands encount ER -