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We study resource allocation games, where users send data along paths and links in the network charge a price equal to marginal cost. When users are price taking, it is known that there exist distributed dynamics that converge towards a fully efficient Nash equilibrium. When users are price anticipating, however, a Nash equilibrium does not maximize total utility in general. In this paper, we explore...
We present a framework for designing delay- independent end-to-end congestion control algorithms, where each end-user may have a different utility function. We only require that utility functions are strictly increasing. In this framework, we design an algorithm that maximizes the minimum utility value in the network, that is, the resulting resource allocation is utility max-min fair. To achieve this,...
The inter-domain resource exchange (iREX) architecture uses economic market mechanisms to automate the ad-hoc negotiation and deployment of end to end inter-domain quality of service policy among resource consumer and resource provider . In this paper, we explore iREX's network load distribution by comparing its performance to a lower bound for network congestion in two ways. We first present an analytical...
The inter-domain resource exchange (iREX) architecture uses economic market mechanisms to automate the deployment of end to end (E2E) inter-domain (ID) quality of service (QoS) policy among resource consumer and resource provider Internet Service Providers (ISPs). Previous simulation results have shown that iREX allows more coexisting ID policy deployments with less network congestion when compared...
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