December 12, 2017
Comments Off on Optimal Prediction Intervals of Wind Power Generation
Posted in: EMBEDDED, IEEE 2017
Optimal Prediction Intervals of Wind Power Generation Abstract: Accurate and reliable wind power forecasting is essential to power system operation. Given significant uncertainties involved in wind generation, probabilistic interval forecasting provides a unique solution to estimate and quantify the potential impacts and risks facing system operation with wind penetration beforehand. This paper proposes a novel […]
December 12, 2017
Comments Off on PACK Prediction-Based Cloud Bandwidth and Cost Reduction System
Posted in: IEEE 2017, Java
PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System In this paper, we present PACK (Predictive ACKs), a novel end-to-end traffic redundancy elimination (TRE) system, designed for cloud computing customers. Cloud-based TRE needs to apply a judicious use of cloud resources so that the bandwidth cost reduction combined with the additional cost of TRE computation and storage would be optimized. PACK’s main advantage is its capability of offloading thecloud-server TRE effort to […]