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ADARM is a framework for application-driven and adaptive resource allocation to enable large scale service-oriented cloud DCs. It builds and utilizes real-time application profiles and models to understand application requirements and performance characteristics. In addition, service-orientation enables ADARM to use uniform and flexible REST services to abstract, organize, monitor and control the...
In the modern society, energy consumption such as gas and electricity is closely related to the weather condition because of the large share of weather-sensitive electrical appliances. Investigating how weather influences the energy consumption is of great significance for energy demand forecasting. This paper proposes an optimum regression approach for analyzing weather influence on the energy consumption...
To realize the potential benefits of SDN, tremendous amount of network information has to be collected, stored, processed and retrieved for the central routing and resource allocation optimization in near real-time. However, the current SDN-Open Flow controller and management applications did not address this issue properly and could not easily and efficiently retrieve and utilize the available analytics...
Classical TE methods calculate the optimal routing based on a known traffic matrix. However, they are unable to handle unexpected traffic changes. Thus, various methods were proposed in recent years, such as online dynamic TE and robust static routing TE. However, online dynamic TE requires additional overhead on routers for information dissemination and suffers from the transient disruptions during...
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