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dc.contributor.authorFotakis, D.en
dc.contributor.authorKontogiannis, S.en
dc.contributor.authorKoutsoupias, E.en
dc.contributor.authorMavronicolas, M.en
dc.contributor.authorSpirakis, P.en
dc.date.accessioned2015-11-24T17:01:57Z-
dc.date.available2015-11-24T17:01:57Z-
dc.identifier.issn0304-3975-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11003-
dc.rightsDefault Licence-
dc.subjectalgorithmic game theoryen
dc.subjectselfish routingen
dc.subjectnash equilibriumen
dc.subjectworst-case equilibriaen
dc.subjectpriceen
dc.subjectexistenceen
dc.subjectanarchyen
dc.subjectmodelen
dc.subjectcosten
dc.titleThe structure and complexity of Nash equilibria for a selfish routing gameen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.tcs.2008.01.004-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2009-
heal.abstractIn this work, we study the combinatorial structure and the computational complexity of Nash equilibria for a certain game that models selfish routing over a network consisting of m parallel links. We assume a collection of it users, each employing a mixed strategy, which is a probability distribution over links, to control the routing Of her own traffic. In a Nosh equilibrium, each user selfishly routes her traffic on those links that minimize her expected latency cost, given the network congestion caused by the other users. The social cost of a Nash equilibrium is the expectation, over all random choices of the users, of the maximum, over all links, latency through a link. We embark on a systematic study of several algorithmic problems related to the computation of Nash equilibria for the selfish routing game we consider. In a nutshell, these problems relate to deciding the existence of a pure Nash equilibrium, constructing a Nash equilibrium, constructing the pure Nash equilibria of minimum and maximum social cost, and Computing the Social Cost of a given mixed Nash equilibrium. Our work provides a comprehensive collection of efficient algorithms, hardness results, and structural results for these algorithmic problems. Our results span and contrast a wide range of assumptions on the syntax of the Nash equilibria and on the parameters of the system. (C) 2008 Elsevier B.V. All rights reserved.en
heal.journalNameTheoretical Computer Scienceen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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