TIME SERIES FORECASTING CLASSIFICATION

A method is disclosed including: obtaining one or more values of a system metric, the system metric being associated with a hardware resource of a computing device; detecting whether the system metric is approaching a threshold, the threshold being associated with a key performance indicator (KPI) o...

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Hauptverfasser: Joshi, Abhishek, Dinh, Hung, Syed, Sabu, K R, Jyothi, Kollu, Reddeppa, Allaka, Venkat, Thakkar, Jatin Kamlesh, Kommana, Chakradhar, Maxi, John K, Mohammed, Tousif, Chilipi, Madhusudhana Reddy, Rathinavelu, Manikandan Pammal, Thakur, Anu Bala, Kumar, Vinod
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creator Joshi, Abhishek
Dinh, Hung
Syed, Sabu
K R, Jyothi
Kollu, Reddeppa
Allaka, Venkat
Thakkar, Jatin Kamlesh
Kommana, Chakradhar
Maxi, John K
Mohammed, Tousif
Chilipi, Madhusudhana Reddy
Rathinavelu, Manikandan Pammal
Thakur, Anu Bala
Kumar, Vinod
description A method is disclosed including: obtaining one or more values of a system metric, the system metric being associated with a hardware resource of a computing device; detecting whether the system metric is approaching a threshold, the threshold being associated with a key performance indicator (KPI) of the computing device, the detecting being performed based on the obtained values of the system metric; calculating a predicted value of the system metric in response to detecting that the system metric is approaching the threshold, the predicted value of the system metric being calculated by using a linear predictor that is trained using unevenly-sampled training data; detecting whether the predicted value of the system metric exceeds the threshold; and reconfiguring the computing device to prevent the system metric from reaching the predicted value in response to detecting that the predicted value exceeds the threshold.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title TIME SERIES FORECASTING CLASSIFICATION
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