Reliable modeling of CPU usage in an office worker environment

Hammer, Hugo Lewi; Yazidi, Anis; Begnum, Kyrre
Chapter, Peer reviewed
Accepted version
Thumbnail
View/Open
URI
https://hdl.handle.net/10642/4613
Date
2016
Metadata
Show full item record
Collections
Original version
Hammer HL, Yazidi A, Begnum KM: Reliable modeling of CPU usage in an office worker environment. In: Ossowski S. Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC '16), 2016. Association for Computing Machinery (ACM) p. 480-483   http://dx.doi.org/10.1145/2851613.2851872
Abstract
In this paper, we present a novel and realistic model for modelling CPU usage of virtual machines

on a cloud. The model is based on considering the CPU consumption of a virtual machine as a one

generated from a Hidden Markov Model (HMM). The model assumes that the hidden layer (Markov

chain) is inhomogeneous and depends on the time of day. In addition the model assumes that the

observations follow an autoregressive process. The deviations from standard HMMs are motivated

by the properties of real CPU consumption data. The HMM model replicate the properties of the

real CPU consumption data in a very realistic way and outperform both AR(1) and AR(2) models

in predicting time ahead CPU consumption.
Publisher
Association for Computing Machinery
Series
Proceedings of the 31st Annual ACM Symposium on Applied Computing;2016