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Estimation and forecasting of ecological efficiency of virtual machines
dc.contributor.author | Katsaros, Gregory |
dc.contributor.author | Stichler, Pascal |
dc.contributor.author | Subirats, Josep |
dc.contributor.author | Guitart Fernández, Jordi |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2016-02-04T11:02:00Z |
dc.date.available | 2018-02-28T01:30:20Z |
dc.date.issued | 2016-02 |
dc.identifier.citation | Katsaros, G., Stichler, P., Subirats, J., Guitart, J. Estimation and forecasting of ecological efficiency of virtual machines. "Future generation computer systems", Febrer 2016, vol. 55, p. 480-494. |
dc.identifier.issn | 0167-739X |
dc.identifier.uri | http://hdl.handle.net/2117/82539 |
dc.description.abstract | The massive development of the cloud marketplace is leading to an increase in the number of the Data Centers (DCs) globally and eventually to an increase of the CO22 related footprint. The calculation of the impact of Virtual Machines (VMs) on the environment is a challenging task, not only due to the technical difficulties but also due to the lack of information from the energy providers. The ecological efficiency of a system captures the relationship between the performance of the system with its environmental footprint. In this paper we present a methodology for the estimation and prediction of the ecological efficiency of VMs in private cloud infrastructures. We specifically focus on the information management starting from the energy resources in a region, the energy consumption and the performance of the resources and finally the calculation of ecological efficiency of a VM. To this end, we have designed and implemented a framework through which the ecological efficiency of a running VM can be assessed and the ecological efficiency of a VM to be deployed can be forecasted. The presented framework is being evaluated through several private cloud scenarios with VM deployments in hosts located in Germany. |
dc.format.extent | 15 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Cloud computing |
dc.subject.lcsh | Virtual computer systems |
dc.subject.lcsh | Energy consumption |
dc.subject.other | Ecological efficiency |
dc.subject.other | Virtual machine |
dc.subject.other | Monitoring |
dc.title | Estimation and forecasting of ecological efficiency of virtual machines |
dc.type | Article |
dc.subject.lemac | Computació en núvol |
dc.subject.lemac | Sistemes virtuals (Informàtica) |
dc.subject.lemac | Energia -- Consum |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1016/j.future.2015.01.002 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0167739X15000035 |
dc.rights.access | Open Access |
local.identifier.drac | 17371874 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Katsaros, G.; Stichler, P.; Subirats, J.; Guitart, J. |
local.citation.publicationName | Future generation computer systems |
local.citation.volume | 55 |
local.citation.startingPage | 480 |
local.citation.endingPage | 494 |
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