Distributed applications play an increasingly crucial role in business-critical enterprise operations. Understanding the performance of such applications is challenging yet essential due to their growing economic value. A particularly important problem is performance prediction: How will application-level performance vary in response to changes in workload? This paper presents a practical and a...

Accurate prediction requires information not only about central tendencies but also about variability. In personality prediction, however, most research has focused on trait-level central tendencies. Previously proposed moderators of personality prediction are all conceptually similar in comparing an individual's central tendency in response patterns with that of the normative person. This arti...

The capacitors in high-voltage direct-current (HVDC) converter stations radiate a lot of audible noise which can reach higher than 100 dB. The existing noise level prediction methods are not satisfying enough. In this paper, a new noise level prediction method is proposed based on a frequency response function considering both electrical and mechanical characteristics of capacitors. The electro...

Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation or fast adaptive modulation. Some power prediction algorithms are based on linear prediction of the taps of the complex impulse response and then forming the power prediction as the sum of the absolute square of the prediction of the taps in the imp...

Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation or fast adaptive modulation. Some power prediction algorithms are based on linear prediction of the taps of the complex impulse response and then forming the power prediction as the sum of the absolute square of the prediction of the taps in the imp...