Autonomic networks / / edited by Dominique Gaiti

• Record Nr.: UNINA9910139508903321
• Pubbl/distr/stampa: London, : ISTE; Hoboken, NJ, : Wiley, c2008
• ISBN: 1-282-16481-3; 9786612164811; 0-470-61087-5; 0-470-39347-5
• Descrizione fisica: 1 online resource (342 p.)
• Collana: ISTE ; ; v.5
• Altri autori (Persone): GaitiDominique
• Disciplina: 621.382/1
• Soggetti: Telecommunication - Computer programs; Computer networks; Distributed artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Autonomic Networks; Table of Contents; Introduction; Chapter 1. Artificial Intelligence and Monitoring of Telecommunications Networks; 1.1. Introduction; 1.2. Network management goals; 1.3. Monitoring needs of telecommunications networks; 1.4. The telecommunications management network (TMN); 1.4.1. TMN management functions; 1.4.2. TMN architecture; 1.5. Control in telecommunications networks; 1.6. Some AI techniques for monitoring telecommunications networks; 1.6.1. Chronos: an expert system generator for monitoring telecommunications networks; 1.6.2. Monitoring with model-based techniques; 1.6.3. Agent technology1.6.3.1. Intelligent agent principles; 1.6.4. Example of agent-based telecommunications network monitoring architecture; 1.6.5. Telecommunications network management with mobile agents; 1.6.5.1. Overview; 1.6.5.2. Mobile agents; 1.6.5.3. Example of telecommunications network monitoring in the case of routing by ant colonies; 1.7. Conclusion; 1.8. Bibliography; Chapter 2. Adaptive and Programmable Management of IP Quality of Service; 2.1. Introduction; 2.2. Open and programmable network technology; 2.3. ; Active and programmable QoS management over IP; 2.3.1. Programmable modules2.3.1.1. Information; 2.3.1.2. Statistic; 2.3.1.3. Status; 2.3.1.4. Label; 2.3.1.5. Configuration; 2.3.1.6. Notification; 2.3.1.7. Behaviors; 2.4. Architecture for adaptive and programmable management; 2.4.1. Legacy mechanisms; 2.4.2. MMB; 2.4.3. MAPI; 2.4.4. Management kernel; 2.4.5. Core control; 2.4.6. Hardware; 2.5. CLAM: a new language for adaptive and programmable management; 2.6. Related studies; 2.6.1. Behavioral networks; 2.6.2. Smart packets; 2.6.3. SENCOMM; 2.6.4. General evaluation; 2.7. Case studies; 2.7.1. Case study 1: web service optimization; 2.7.1.1. Scenario and metaconfiguration specification2.7.1.2. Results and discussion; 2.7.2. Case study 2: maximization of a given objective function; 2.7.2.1. Scenario and metaconfiguration specification; 2.7.2.2. Results and discussion; 2.7.3. Case study 3: adaptive control of equity; 2.7.3.1. Scenario and metaconfiguration specification; 2.7.3.2. Results and discussion; 2.8. Conclusion and perspectives; 2.9. Bibliography; Chapter 3. Software Agents for IP Management; 3.1. Introduction; 3.2. IP networks and their management; 3.2.1. IP networks; 3.2.2. IP network evolution and associated problems3.2.3. IP network management; 3.3. The multi-agent paradigm; 3.3.1. What is an agent?; 3.3.2. When should MAS be used?; 3.4. MAS for IP network management; 3.4.1. MAS for specific network problems; 3.4.2. Existing applications; 3.4.2.1. Development of topology maps; 3.4.2.2. Routing; 3.4.2.3. Congestion control; 3.4.2.4. Network monitoring; 3.4.2.5. QoS; 3.4.2.6. Continuity of services; 3.4.2.7. Network simulation; 3.5. Perspectives and conclusion; 3.6. Bibliography; Chapter 4. The Use of Agents in Policy-based Management; 4.1. Introduction; 4.2. Policy-based management
• Sommario/riassunto: As the Internet becomes larger and larger, and consequently more difficult to control and to manage, telecommunication operators, manufacturers and companies require tools to perform management and control tasks. A large number of tools coming from different areas have been proposed, but these are not sufficient to handle an evolving and dynamic environment. This book presents and explains all the techniques which integrate a certain level of intelligence (through intelligent software agents for example) in order to represent knowledge, take appropriate decisions, communicate with other enti