Pricing in computer networks: reshaping the research agenda
ACM SIGCOMM Computer Communication Review
Transporting QoS adaptive flows
Multimedia Systems
The economics of network management
Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Pricing for QoS-enabled networks: A survey
IEEE Communications Surveys & Tutorials
End to end QoS provisioning multimedia wireless/mobile networks using an adaptive framework
IEEE Communications Magazine
Video transcoding proxy for 3Gwireless mobile Internet access
IEEE Communications Magazine
Intelligent content aware services in 3G wireless networks
IEEE Journal on Selected Areas in Communications
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In this paper, we propose and analyze a multimedia adaptation filtering policy to optimize the delivery of multimedia services in integrated wired/wireless networks. We show that, under certain operating conditions, our proposed policy can significantly increase the revenues generated by the delivery of the multimedia services to mobile users. The primary objective of the proposed policy is to guarantee the users' service level agreements (SLAs) while enhancing the utilization of the networks' assets (i.e., links' capacities, switching nodes and ports). Two important results stem from this objective: (1) a service provider will be able to gain additional revenues via accommodating more users without offering any new services, and without making any new additional investments to the set network's assets. (2) A service provider can gain new revenues by offering a new set of multimedia delivery services with nominal capital expenditures (CAPEX). Results show that it is possible to attain an average increase in the revenues of up to 21% by admitting up to 50% of additional users. The filtering policy includes the installation of filters at the output ports of each node of public land mobile networks such as 3G-UMTS (Third Generation Universal Mobile Telecommunication Systems) network. The filters are controlled by a multi-objective optimization function that attempts to adapt both the rate and format of the multimedia services. We assume that the provider offers two different grades of services to which users can subscribe: Premium and Economy. Premium class users pay a higher tariff because the filters provide a preferential treatment to their media streams over those directed to Economy class users.