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Demand response refers to reducing energy consumption of participating systems in response to transient surge in power demand or other emergency events. Demand response is particularly important for maintaining power grid transmission stability, as well as achieving overall energy saving. High Performance Computing (HPC) systems can be considered as ideal participants for demand-response programs,...
Performance Prediction Toolkit (PPT) is a simulator mainly developed at Los Alamos National Laboratory to facilitate rapid and accurate performance prediction of large-scale scientific applications on existing and future HPC architectures. In this paper, we present three interconnect models for performance prediction of large-scale HPC applications. They are based on interconnect topologies widely...
Demand response programs maintain transmission stability in power grid through reducing electricity use during peak period, making grid more efficient and robust. While numerous demand response programs are currently being deployed by utility companies, we focus on emergency demand response program, which is critical to ensure reliability during emergency situations. As a key participant in such program,...
Mobile applications can be enhanced to a great extent by using the offloading mechanism in an energy efficient manner to the bounty resourceful clouds. Due to the huge demand of smart phones, the issue of providing more processing capability to this resource constraint device is getting more concern now-a-days. In this paper, a method level offloading mechanism has been proposed where no prior image...
Recent emergence of mobile crowdsourcing applications has made it imperative to ensure security and efficient resource allocation to the users involved in such applications, especially considering the nature of wireless transmission that is power limited and highly vulnerable to eavesdropping. Although there have been some efforts to maximize the report credibility along with power allocation to reporters...
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