LEADER 04068nam 2200625 a 450 001 9910483951003321 005 20200520144314.0 010 $a3-540-45893-X 024 7 $a10.1007/11880905 035 $a(CKB)1000000000283750 035 $a(SSID)ssj0000316421 035 $a(PQKBManifestationID)11241381 035 $a(PQKBTitleCode)TC0000316421 035 $a(PQKBWorkID)10275511 035 $a(PQKB)11049863 035 $a(DE-He213)978-3-540-45893-7 035 $a(MiAaPQ)EBC3068227 035 $a(PPN)123138752 035 $a(EXLCZ)991000000000283750 100 $a20060814d2006 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAutonomic networking $efirst international IFIP TC6 conference, AN 2006, Paris, France, September 27-29, 2006 : proceedings /$fDominique Gaiti ... [et al.] (eds.) 205 $a1st ed. 2006. 210 $aBerlin $cSpringer$d2006 215 $a1 online resource (IX, 316 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v4195 225 1 $aLNCS sublibrary. SL 5, Computer communication networks and telecommunications 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-45891-3 320 $aIncludes bibliographical references and index. 327 $aAutonomic networks -- Self-configuration -- Autonomic platform and services -- Autonomic management and discovery -- Policy-based management -- Ad hoc, sensor, and ambient autonomic networks -- Autonomic control of mobile networks. 330 $aThe autonomic communication paradigm has been defined mainly through the Autonomic Communications Forum (ACF) and particularly as follows: Autonomic communication is centered on selfware ? an innovative approach to perform known and emerging tasks of a network control plane, both end-to-end and middle box communication-based. Selfware assures the capacity to evolve; however, it requires generic network instrumentation. Selfware principles and technologies borrow largely from well-established research on distributed systems, fault tolerance among others, from emerging research on non-conventional networking (multihop ad hoc, sensor, peer-to-peer, group communication, etc. ), and from similar initiatives, such as Autonomic Computing of IBM, Cognitive Network of DARPA, Harmonious Computing of Hitachi, Resonant Networking of NTT, etc. A visionary network would be able to (a) configure and re-configure itself, (b) identify its operational state and take actions to drive itself to a desired stable state and finally (c) organize the allocation and distribution of its resources. To build such a network, it is necessary to go beyond the improvement of techniques and algorithms by using a new concept, the knowledge plane. The knowledge plane is able to collect information available in the network to provide other elements of the network with services and advice and make the network perform what it is supposed to. There are many objectives to the configuration and reconfiguration of the network, from the optimization of resources to the use of best available techniques in order to offer the most appropriate service, best adapted to the t- minal capabilities. 410 0$aLecture notes in computer science ;$v4195. 410 0$aLNCS sublibrary.$nSL 5,$pComputer communication networks and telecommunications. 517 3 $aAN 2006 606 $aAutonomic computing$vCongresses 606 $aComputer networks$xAutomatic control$vCongresses 606 $aSelf-organizing systems$vCongresses 615 0$aAutonomic computing 615 0$aComputer networks$xAutomatic control 615 0$aSelf-organizing systems 676 $a004.6 701 $aGaiti$b Dominique$0895733 712 02$aInternational Federation for Information Processing.$bTechnical Committee 6. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483951003321 996 $aAutonomic networking$94204924 997 $aUNINA