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To regulate energy consumption and enable Demand-Response programs, effective demand-side management at home is key and an integral part of the future Smart Grid. In essence, the home energy management is a mix between discrete appliance scheduling problem with deadlines and continuous Heating, Ventilation and Cooling (HVC) device control problem. In this paper, we present near-optimal algorithm designs...
In this paper, we present demand-side energy management under real-time demand-response pricing as a task scheduling problem which is NP-hard. Using minmax as the objective, we show that the schedule produced by our minMax scheduling algorithm has a number of salient advantages: significant peak-shaving, cost reduction, and risk-aversion for the consumers. We prove that our algorithm finds near-optimal...
Network virtualization environment (VNE) affords great business flexibility to the customers and the providers as multiple providers can jointly support a customer's virtual network. Under the current network model, a group of Infrastructure Providers (InPs) peer with each other to provide a packaged deal. Such a business arrangement is not customer-driven, does not promote fair market competition...
Over the past ten years, many pricing schemes have been proposed for a QoS-enabled network. Most of the proposed QoS-pricing schemes focus on congestion-sensitive pricing and optimal pricing solutions. Integrating pricing and admission control has not been studied in details. In this paper, we pay more attention to the interrelation between pricing and admission control in QoS-enabled networks and...
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