Simulated annealing algorithms for continuous global optimization: convergence conditions
Journal of Optimization Theory and Applications
A Generic and Modular Internet Charging System for the Cumulus Pricing Scheme
Journal of Network and Systems Management
Congestion Pricing: Paying Your Way in Communication Networks
IEEE Internet Computing
Pricing Communication Networks: Economics, Technology and Modelling (Wiley Interscience Series in Systems and Optimization)
Pricing for QoS-enabled networks: A survey
IEEE Communications Surveys & Tutorials
An overview of pricing concepts for broadband IP networks
IEEE Communications Surveys & Tutorials
Simulated annealing: Practice versus theory
Mathematical and Computer Modelling: An International Journal
Pricing the services in dynamic environment: agent pricing model
Transactions on computational collective intelligence II
A survey of smart data pricing: Past proposals, current plans, and future trends
ACM Computing Surveys (CSUR)
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One important task in current and future communication networks is to define a suitable pricing scheme. It is then preferable to formulate a mathematical model, so that parameters will be optimized and important properties such as fairness or truthful anticipated load revelation (or incentive compatibility) will be verified. In this paper we study a simple and promising scheme called the cumulus pricing scheme, which can address service differentiation and scalability among other issues. Based on a mathematical model, we determine values for optimizing the provider's revenue, which happens under the constraint that each user has an incentive to reveal its anticipated load. This has led to a small variation of the initial model from the literature as in the modelling, cumulus points are translated into financial terms, and measurements induce a cost as well.