Stochastic Modeling of Internet Service for Profit Optimization in Uganda

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dc.contributor.authorChristopher, Senfuka
dc.contributor.authorPaul, Kizito Mubiru
dc.contributor.authorMaureen, N. Ssempijja
dc.date.accessioned2020-11-17T17:03:17Z
dc.date.available2020-11-17T17:03:17Z
dc.date.issued2018
dc.description.abstractWe consider an internet cafe faced with an optimal choice of bandwidth for internet users under stochastic stationary demand. The choice is made over uniformly time horizons with a goal of optimizing profits. Considering customer demand, price and operating costs of internet service, we formulate a finite state Markov decision process model where states of a Markov chain represent possible states of demand for internet service. A profit matrix is generated; representing the long run measure of performance for the Markov decision process problem. The problem is to determine an optimal bandwidth adjustment policy so that the long run profits are maximized for a given state of demand. The bandwidth adjustment policies are determined using dynamic programming over a finite period planning horizon. Results from a case study demonstrate the existence of an optimal statedependent option for bandwidth adjustment and profits in providing internet service.en_US
dc.description.sponsorshipKabale Universityen_US
dc.identifier.isbn978-1-905824-59-5
dc.identifier.urihttp://hdl.handle.net/20.500.12493/465
dc.language.isoen_USen_US
dc.publisherIST-Africaen_US
dc.subjectBandwidth adjustment; internet service; modelling; profit optimization; stochastic demanden_US
dc.titleStochastic Modeling of Internet Service for Profit Optimization in Ugandaen_US
dc.typeArticleen_US

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