In this paper we propose an analytical model for managing non-cooperative or mis-behaving flows in the Internet by manipulating congestion penalties conveyed to them. We show that a penalty transformation derived from the Duality formulation of Utility Maximization problem can map a user’s utility function, , to any objective utility function, . These penalty transformation modules can be compl...

This article proves the existence of equilibrium prices in Bertrand competition with multi-product firms using the Logit model of demand. The most general proof, an application of the PoincareHopf Theorem, does not rely on restrictive assumptions such as singleproduct firms, firm homogeneity or symmetry, homogeneous product costs, or even concavity of the utility function with respect to prices...

Over the past decade, several acquisition functions have been proposed for kriging-based reliability analysis. Each of these can be used to identify an optimal sequence samples included in kriging model. However, no single function provides better performance over others all cases. Further, best-performing change at different iterations sequential sampling process. To address this problem, pape...

This study considers a multi-class network resource in a competitive market where each user endowed with an initial budget will purchase bandwidth from each class of the network resource to maximise its utility function. The authors use revenue as the utility function for the service provider, and enhance Kelly’s utility function by including delay as the quality of service (QoS) parameter for ...

This paper describes a novel approach to planning which takes advantage of decision theory to greatly improve robustness in an uncertain environment. We present an algorithm which computes conditional plans of maximum expected utility. This algorithm relies on a representation of the search space as an AND/OR tree and employs a depth-limit to control computation costs. A numeric robustness fact...