| dc.contributor.author | Hammer, Hugo Lewi | |
| dc.contributor.author | Yazidi, Anis | |
| dc.contributor.author | Begnum, Kyrre | |
| dc.date.accessioned | 2017-03-14T13:43:41Z | |
| dc.date.accessioned | 2017-03-31T08:15:19Z | |
| dc.date.available | 2017-03-14T13:43:41Z | |
| dc.date.available | 2017-03-31T08:15:19Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | 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 | language |
| dc.identifier.isbn | 978-1-4503-3739-7 | |
| dc.identifier.uri | https://hdl.handle.net/10642/4613 | |
| dc.description.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. | |
| dc.language.iso | en | language |
| dc.publisher | Association for Computing Machinery | language |
| dc.relation.ispartofseries | Proceedings of the 31st Annual ACM Symposium on Applied Computing;2016 | |
| dc.rights | © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in 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://doi.acm.org/ 10.1145/2851613.2851872 | language |
| dc.subject | CPU usage | language |
| dc.subject | Virtual machines | language |
| dc.subject | Hidden Markov Model | language |
| dc.subject | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551 | language |
| dc.title | Reliable modeling of CPU usage in an office worker environment | language |
| dc.type | Chapter | language |
| dc.type | Peer reviewed | language |
| dc.date.updated | 2017-03-14T13:43:41Z | |
| dc.description.version | acceptedVersion | language |
| dc.identifier.doi | http://dx.doi.org/10.1145/2851613.2851872 | |
| dc.identifier.cristin | 1383939 | |
| dc.source.isbn | 978-1-4503-3739-7 | |
