LEADER 05297nam 2200649Ia 450 001 9910139508903321 005 20200520144314.0 010 $a1-282-16481-3 010 $a9786612164811 010 $a0-470-61087-5 010 $a0-470-39347-5 035 $a(CKB)2550000000005878 035 $a(EBL)477666 035 $a(OCoLC)593297119 035 $a(SSID)ssj0000334987 035 $a(PQKBManifestationID)11233676 035 $a(PQKBTitleCode)TC0000334987 035 $a(PQKBWorkID)10271580 035 $a(PQKB)10602988 035 $a(MiAaPQ)EBC477666 035 $a(EXLCZ)992550000000005878 100 $a20070502d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAutonomic networks /$fedited by Dominique Gaiti 210 $aLondon $cISTE ;$aHoboken, NJ $cWiley$dc2008 215 $a1 online resource (342 p.) 225 1 $aISTE ;$vv.5 300 $aDescription based upon print version of record. 311 $a1-84821-002-7 320 $aIncludes bibliographical references and index. 327 $aAutonomic 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 327 $a1.6.3. 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 327 $a2.3.1. 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 327 $a2.7.1.1. 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 327 $a3.2.2. 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 327 $a4.2. Policy-based management 330 $aAs the Internet becomes larger and larger, and consequently more difficult to control and to manage, telecommunication operators, manufacturers and companies require tools to perform management and control tasks. A large number of tools coming from different areas have been proposed, but these are not sufficient to handle an evolving and dynamic environment. This book presents and explains all the techniques which integrate a certain level of intelligence (through intelligent software agents for example) in order to represent knowledge, take appropriate decisions, communicate with other enti 410 0$aISTE 606 $aTelecommunication$xComputer programs 606 $aComputer networks 606 $aDistributed artificial intelligence 615 0$aTelecommunication$xComputer programs. 615 0$aComputer networks. 615 0$aDistributed artificial intelligence. 676 $a621.382/1 701 $aGaiti$b Dominique$0895733 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139508903321 996 $aAutonomic networks$92001012 997 $aUNINA