| dc.contributor.author | Khan, Naveed | |
| dc.contributor.author | Haugerud, Hårek | |
| dc.contributor.author | Shrestha, Raju | |
| dc.contributor.author | Yazidi, Anis | |
| dc.date.accessioned | 2020-02-08T18:11:50Z | |
| dc.date.accessioned | 2020-02-19T14:31:28Z | |
| dc.date.available | 2020-02-08T18:11:50Z | |
| dc.date.available | 2020-02-19T14:31:28Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Khan N, Haugerud H, Shrestha R, Yazidi A: Optimizing Power and Energy Efficiency in Cloud Computing. In: NN N. 11th ACM International Conference on Management of Digital EcoSystems, 2019. ACM Publications | en |
| dc.identifier.isbn | 978-1-4503-6238-2 | |
| dc.identifier.uri | https://hdl.handle.net/10642/8146 | |
| dc.description.abstract | With the exponential growth in cloud computing, the steadily increasing amount of power consumption due to the use of physical and virtual machines is becoming a serious challenge. In this context, we report a study on optimizing the power and energy efficiency of physical and virtual machines in a cloud computing environment. The energy profile of different workloads is thoroughly investigated under different configurations. This paper presents the findings from our study which provides a good understanding of how different workloads affect power and energy efficiency of both physical and virtual machines. | en |
| dc.language.iso | en | en |
| dc.publisher | ACM Publications | en |
| dc.relation.ispartofseries | MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems; | |
| dc.rights | All ACM published authors of magazine articles, journal articles, and conference papers retain the right to post the pre-submitted (also known as "pre-prints"), submitted, accepted, and peer-reviewed versions of their work in any and all of the following sites:
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Any Non-Commercial Repository or Aggregation that does not duplicate ACM tables of contents. Non-Commercial Repositories are defined as Repositories owned by non-profit organizations that do not charge a fee to access deposited articles and that do not sell advertising or otherwise profit from serving scholarly articles. | en |
| dc.subject | Cloud computing | en |
| dc.subject | Virtual machines | en |
| dc.subject | Energy efficiency | en |
| dc.subject | Optimizations | en |
| dc.title | Optimizing Power and Energy Efficiency in Cloud Computing | en |
| dc.type | Conference object | en |
| dc.date.updated | 2020-02-08T18:11:50Z | |
| dc.description.version | acceptedVersion | en |
| dc.identifier.doi | https://dx.doi.org/10.1145/3297662.3365820 | |
| dc.identifier.cristin | 1792203 | |
| dc.source.isbn | 978-1-4503-6238-2 | |
