HIDRA: HIstory Directed Routing Algorithm for IP networks

Fafali, P; Patrikakis, CZ; Protonotarios, EN

dc.contributor.author	Fafali, P	en
dc.contributor.author	Patrikakis, CZ	en
dc.contributor.author	Protonotarios, EN	en
dc.date.accessioned	2014-03-01T01:19:01Z
dc.date.available	2014-03-01T01:19:01Z
dc.date.issued	2003	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15330
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-35248837306&partnerID=40&md5=e00b77e587f02db84fe40a7503a6b8e5	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/hsnmc/hsnmc2003.html#FafaliPP03	en
dc.subject	Ip Networks	en
dc.subject	Routing Algorithm	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	HIDRA: HIstory Directed Routing Algorithm for IP networks	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	The need for making optimal use of the available resources in IP networks is of crucial importance as multimedia communications become part of our everyday activities. Inspired by this problem, we are presenting HIDRA, a routing algorithm which targets at two longstanding optimization objectives. The first one is pertaining to routing incoming traffic while preserving as much as possible resources for future demands. The second goal is to maximize the amount of traffic served. The main idea upon which our traffic engineering framework is built is to allocate resource assets online, directed by history monitoring information and Service Level Agreements (SLAs) so as to steer traffic through network in the most effective way. The simulation experiments conducted show that our routing scheme surmounts traditional routing algorithms such as shortest path and widest-shortest path in terms of blocking effects and total bandwidth passed. © Springer-Verlag Berlin Heidelberg 2003.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.isi	ISI:000185073600034	en
dc.identifier.volume	2720	en
dc.identifier.spage	333	en
dc.identifier.epage	342	en