LEADER 02104oam 2200433zu 450 001 9910139206403321 005 20241212215852.0 010 $a9780769542294 010 $a0769542298 035 $a(CKB)2560000000059208 035 $a(SSID)ssj0000527445 035 $a(PQKBManifestationID)12181885 035 $a(PQKBTitleCode)TC0000527445 035 $a(PQKBWorkID)10526398 035 $a(PQKB)11685780 035 $a(NjHacI)992560000000059208 035 $a(EXLCZ)992560000000059208 100 $a20160829d2010 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop 210 31$a[Place of publication not identified]$cI E E E$d2010 215 $a1 online resource (xxxii, 326 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424486847 311 08$a142448684X 330 $aSelf-adaptation can be achieved by autonomic management of facets of a system's constituent components. This paper reports on a generic autonomic management frame-work and on its application to a key-based routing protocol as used in the peer-to-peer overlay Chord. The framework implements generic components of the autonomic management cycle. In the work reported here it was used to build a manager which autonomically controls the maintenance scheduling of the peer-set in individual Chord nodes, governed by some high-level policies. This manager improved routing performance and resource consumption in comparison to statically configured Chord nodes in a deployed network which was exposed to various membership churn and workload patterns. 606 $aSelf-organizing systems$vCongresses 615 0$aSelf-organizing systems 676 $a003 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910139206403321 996 $a2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop$92423017 997 $aUNINA