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The two largest U.S. wireless ISPs have recently moved towards usage-based pricing to better manage the growing demand on their networks. Yet usage-based pricing still re-quires ISPs to over-provision capacity for demand at peak times of the day. Time-Dependent Pricing (TDP) addresses this problem by considering when a user consumes data, in addition to how much is used. The authors present the architecture, implementation, and a user trial of an end-to-end TDP system called TUBE. TUBE creates a price-based feedback control loop between an ISP and its end users. On the ISP side, it computes TDP prices so as to balance the cost of congestion during peak periods with that of offering lower prices in less congested periods.
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