Network resource brokerage by means of distributed agent-based systems encompassing reinforcement learning schemes

Saltouros, M; Taskaris, A; Demestichas, P; Theologou, M; Vasilakos, A

dc.contributor.author	Saltouros, M	en
dc.contributor.author	Taskaris, A	en
dc.contributor.author	Demestichas, P	en
dc.contributor.author	Theologou, M	en
dc.contributor.author	Vasilakos, A	en
dc.date.accessioned	2014-03-01T01:18:05Z
dc.date.available	2014-03-01T01:18:05Z
dc.date.issued	2002	en
dc.identifier.issn	0140-3664	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14794
dc.subject	Foundation for intelligent physical agents	en
dc.subject	Learning algorithms	en
dc.subject	Routing	en
dc.subject	Service provider	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Bandwidth	en
dc.subject.other	Distributed computer systems	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Learning algorithms	en
dc.subject.other	Problem solving	en
dc.subject.other	Quality of service	en
dc.subject.other	Routers	en
dc.subject.other	Network resource brokerage	en
dc.subject.other	Internet	en
dc.title	Network resource brokerage by means of distributed agent-based systems encompassing reinforcement learning schemes	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0140-3664(02)00043-9	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0140-3664(02)00043-9	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	The success of a network provider in a competitive communications market depends on the cost-effective provision of the appropriate QoS levels, and the ability to promote the network infrastructure, using dynamic attracting service providers. Advanced management tools encompassing the appropriate intelligence are enabling concepts in this direction. The aim of this paper is to present a part of a Network and Service Management System that acts as a distributed Bandwidth Brokerage System (BBS) over an Internet segment. Aspects addressed are the overall role of the BBS, its functional decoupling, the component deployment pattern in complex (hierarchical) network structures, and the computational intelligence encompassed in the components. The BBS components' logic, which is based on the Stochastic Estimator Learning Algorithm (SELA) concept, solves a version of the hierarchical routing and bandwidth management problem. Mathematical descriptions of the SELA concept and the corresponding routing and bandwidth management schemes are provided. Finally, the paper provides results on the efficiency of the BBS in managing network segments of commercial size and connectivity degree. (C) 2002 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Communications	en
dc.identifier.doi	10.1016/S0140-3664(02)00043-9	en
dc.identifier.isi	ISI:000178066300002	en
dc.identifier.volume	25	en
dc.identifier.issue	16	en
dc.identifier.spage	1415	en
dc.identifier.epage	1428	en