A Revenue Maximization Model for Call Admission Control Problem of Media on Demand Service Providers
Paper i proceeding, 2011

This paper formulates the call admission control problem for media on demand (audio and video) requests in the form of a mathematical optimization model. This model allocates proper portions of the available capacity to the customers of various service classes in order to maximize service provider's revenue, resource utilization, and customer satisfaction. Upon receiving a media request, the provider decides (based on the estimated available bandwidth) whether to accept it in the requested class or to offer a service in another service class. A Markov chain model is employed to formulate admission control strategies, and the limiting probabilities are used to construct a revenue maximization formulation of the problem. We use both an analytical model and computer simulation to investigate effect of offer-based admission control for media services on providers' revenue and customer satisfaction measured by call rejection probability.

Quality of Service

Revenue Management

Media on Demand

Markov Chain

Call Admission Control


Matin Bagherpour

Mehdi Sharif Yazdi

Chalmers, Matematiska vetenskaper

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

Øivind Kure

Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN), 2011

1095-2055 (ISSN)

978-1-4577-0637-0 (ISBN)


Annan maskinteknik


Annan elektroteknik och elektronik


Informations- och kommunikationsteknik




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