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Article: A new economic generalized particle model for flow control

TitleA new economic generalized particle model for flow control
Authors
KeywordsComputer Networks
Distributed And Parallel Algorithm
Dynamical Process
Economic Generalized Particle Model (Egpm)
Intelligent Bandwidth Allocation
Price And Demands Dynamic Modulation
Issue Date2010
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/comnet
Citation
Computer Networks, 2010, v. 54 n. 3, p. 506-524 How to Cite?
AbstractThe problem of bandwidth allocation in computer networks can be likened to the supply-demand problem in economics. This paper presents the economic generalized particle model (EGPM) approach to intelligent allocation of network bandwidth. EGPM is a significant extension and further development of the generalized particle model (GPM) [1]. The approach comprises two major components: (1) dynamic allocation of network bandwidth based on GPM; and (2) dynamic modulation of price and demands of network bandwidth. The resulting algorithm can be easily implemented in a distributed fashion. Pricing being the network control mechanism in EGPM is carried out by a tatonnement process. We discuss the EGPM's convergence and show that the approach is efficient in achieving the global Pareto optimum. Via simulations, we test the approach, analyze its parameters and compare it with GPM and a genetic-algorithm-based solution. © 2009 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/152425
ISSN
2015 Impact Factor: 1.446
2015 SCImago Journal Rankings: 0.755
ISI Accession Number ID
Funding AgencyGrant Number
National Science Foundation of China60905043
Hong Kong Research Grant Council7137/08E
Funding Information:

This work was Supported by the National Science Foundation of China under Grant No. 60905043, the General Research Fund of Hong Kong Research Grant Council under Grant No. 7137/08E.

References

 

DC FieldValueLanguage
dc.contributor.authorFeng, Xen_US
dc.contributor.authorLau, FCMen_US
dc.date.accessioned2012-06-26T06:38:23Z-
dc.date.available2012-06-26T06:38:23Z-
dc.date.issued2010en_US
dc.identifier.citationComputer Networks, 2010, v. 54 n. 3, p. 506-524en_US
dc.identifier.issn1389-1286en_US
dc.identifier.urihttp://hdl.handle.net/10722/152425-
dc.description.abstractThe problem of bandwidth allocation in computer networks can be likened to the supply-demand problem in economics. This paper presents the economic generalized particle model (EGPM) approach to intelligent allocation of network bandwidth. EGPM is a significant extension and further development of the generalized particle model (GPM) [1]. The approach comprises two major components: (1) dynamic allocation of network bandwidth based on GPM; and (2) dynamic modulation of price and demands of network bandwidth. The resulting algorithm can be easily implemented in a distributed fashion. Pricing being the network control mechanism in EGPM is carried out by a tatonnement process. We discuss the EGPM's convergence and show that the approach is efficient in achieving the global Pareto optimum. Via simulations, we test the approach, analyze its parameters and compare it with GPM and a genetic-algorithm-based solution. © 2009 Elsevier B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/comneten_US
dc.relation.ispartofComputer Networksen_US
dc.subjectComputer Networksen_US
dc.subjectDistributed And Parallel Algorithmen_US
dc.subjectDynamical Processen_US
dc.subjectEconomic Generalized Particle Model (Egpm)en_US
dc.subjectIntelligent Bandwidth Allocationen_US
dc.subjectPrice And Demands Dynamic Modulationen_US
dc.titleA new economic generalized particle model for flow controlen_US
dc.typeArticleen_US
dc.identifier.emailLau, FCM:fcmlau@cs.hku.hken_US
dc.identifier.authorityLau, FCM=rp00221en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.comnet.2009.09.012en_US
dc.identifier.scopuseid_2-s2.0-75849124395en_US
dc.identifier.hkuros211449-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-75849124395&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume54en_US
dc.identifier.issue3en_US
dc.identifier.spage506en_US
dc.identifier.epage524en_US
dc.identifier.isiWOS:000275585600012-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridFeng, X=55200149100en_US
dc.identifier.scopusauthoridLau, FCM=7102749723en_US
dc.identifier.citeulike5885296-

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