Quo Vadis-A Framework for Intelligent Routing in Large Communication Networks.

dc.contributor.author Mikler, Armin
dc.contributor.author Wong, Johnny
dc.contributor.author Honavar, Vasant
dc.contributor.department Computer Science
dc.date 2018-02-13T22:53:15.000
dc.date.accessioned 2020-06-30T01:55:02Z
dc.date.available 2020-06-30T01:55:02Z
dc.date.issued 1994-12-16
dc.description.abstract <p>This paper presents Quo Vadis, an evolving framework for intelligent traffic management in very large communication networks. Quo Vadis is designed to exploit topological properties of large networks as well as their spatio-temporal dynamics to optimize multiple performance criteria through cooperation among nodes in the network. It employs a distributed representation of network state information using local load measurements supplemented by a less precise global summary. Routing decisions in Quo Vadis are based on parameterized heuristics designed to optimize various performance metrics in an anticipatory or pro-active as well as compensatory or reactive mode and to minimize the overhead associated with traffic management. The results of simulation experiments within a grid network clearly demonstrate the ability of Quo Vadis to avoid congestion and minimize message delay under a variety of network load conditions.</p>
dc.identifier archive/lib.dr.iastate.edu/cs_techreports/103/
dc.identifier.articleid 1138
dc.identifier.contextkey 5339399
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cs_techreports/103
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/19910
dc.source.bitstream archive/lib.dr.iastate.edu/cs_techreports/103/TR94_24.pdf|||Fri Jan 14 18:17:50 UTC 2022
dc.subject.disciplines OS and Networks
dc.subject.disciplines Systems Architecture
dc.subject.disciplines Theory and Algorithms
dc.title Quo Vadis-A Framework for Intelligent Routing in Large Communication Networks.
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 5b8e3e14-3847-4a36-aa1e-0782ced64a70
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
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