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The collocation of applications in the cloud each with unique traffic characteristics presents provisioning challenges to providers. Furthermore, the volatility present in traffic sent & received by these applications necessitates a predictive solution for effective QoS strategies. To comprehend the tasks faced by cloud providers in this regard, we undertook statistical analysis of traffic traces...
Accurate short term load forecasting (STLF) is a prerequisite for proper generation scheduling and reliable operation of power utilities. Conventional methods of STLF, suffer from the disadvantages such as lack of ability to accurately model the weather parameters affecting the load, lack of robustness for representing weekends and public holidays and of being computation intensive. Application of...
The present paper employs a particle swarm optimization (PSO) based adaptive linear combiner for efficient prediction of various stock indices in presence of strong outliers in the training data. The connecting weights of the model are updated by minimizing the Wilcoxon norm of the error vector by PSO. The short and long term prediction performance of the new model is evaluated with test data and...
A generalized Forecasting Compensatory Control (GFCC) strategy is developed using the receding forecasting horizon approach and a simplified i-step ahead forecasting model. The characteristics and robustness of this GFCC algorithm are presented and analyzed. This algorithm has been successfully applied to the vibration control of an experimental beam subjected to impulse as well as random excitations...
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