Gossiping for autonomic estimation of network-based parameters in dynamic environments

Gouvas, P; Zafeiropoulos, A; Liakopoulos, A

dc.contributor.author	Gouvas, P	en
dc.contributor.author	Zafeiropoulos, A	en
dc.contributor.author	Liakopoulos, A	en
dc.date.accessioned	2014-03-01T02:46:48Z
dc.date.available	2014-03-01T02:46:48Z
dc.date.issued	2010	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32870
dc.subject	Autonomic networks	en
dc.subject	Gossiping techniques	en
dc.subject	NEURON	en
dc.subject	Self-awareness	en
dc.subject	Self-optimization	en
dc.subject.other	Autonomic network	en
dc.subject.other	Convergence time	en
dc.subject.other	Current status	en
dc.subject.other	Decision making process	en
dc.subject.other	Dynamic environments	en
dc.subject.other	Future networks	en
dc.subject.other	Gossiping techniques	en
dc.subject.other	Message exchange	en
dc.subject.other	Network-based	en
dc.subject.other	Self-awareness	en
dc.subject.other	Self-optimization	en
dc.subject.other	Decision making	en
dc.subject.other	Dynamics	en
dc.subject.other	Internet	en
dc.subject.other	Mobile telecommunication systems	en
dc.subject.other	Optimization	en
dc.subject.other	Peer to peer networks	en
dc.subject.other	Parameter estimation	en
dc.title	Gossiping for autonomic estimation of network-based parameters in dynamic environments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-16961-8_55	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-16961-8_55	en
heal.publicationDate	2010	en
heal.abstract	Future networks are becoming larger in scale, more dynamic and heterogeneous. In such environments, adaptation of algorithms in the current networking conditions is necessary in order to increase the efficiency and performance of the deployed mechanisms. Knowledge of network based parameters may facilitate the decision making processes in a dynamic environment. Self-awareness will help the network to diagnose faults and realize the current status and, thus, proceed to self-optimization actions. In this paper, a neighbour to neighbour gossiping mechanism is proposed for autonomic estimation of network based parameters. The described mechanism is evaluated in terms of message exchanges and convergence time until accurate parameters' estimation. © 2010 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-16961-8_55	en
dc.identifier.volume	6428 LNCS	en
dc.identifier.spage	358	en
dc.identifier.epage	366	en