In this paper, we study the problem of resource allocation between users in next-generation networks. The starting assumption is that the service provider tries to come up with convincing offers of service level to subscribers, based on demand responsive pricing scheme, while trying to maximize its profit. We developed two algorithms with different usage-based pricing strategies. Both algorithms solve pricing optimization problem using Stackelberg game with service provider acting as a leader and users behaving as followers. We developed the bandwidth management server to perform automatic optimal bandwidth allocation to each user's session and maximize its expected utility while maximizing the overall service provider's revenue. For both algorithms, we also performed the procedure for optimization of the capacity offered to users.
Considering specific operational and corporate service requirements, this article proposes an approach for providing quality of service (QoS) in multiservice networks based on the IP (Internet Protocol) technology. The basic elements of the proposed approach encompass DiffServ-aware QoS architecture, proposal for traffic classification, proposal for configuration of the data plane QoS implementation mechanisms, as well as the model of QoS control and management. Particularly, the proposed approach is applicable to private networks with specific operational and corporate needs (power utilities, traffic and transport, etc.), which mandatory require different levels of QoS in order to assure stable and reliable system operation.
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