dc.creator | Fernández Cerero, Damián | es |
dc.creator | Jakóbik, Agnieszka | es |
dc.creator | Grzonka, Daniel | es |
dc.creator | Kolodziej, Joanna | es |
dc.creator | Fernández Montes González, Alejandro | es |
dc.date.accessioned | 2019-03-01T08:31:13Z | |
dc.date.available | 2019-03-01T08:31:13Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Fernández Cerero, D., Jakóbik, A., Grzonka, D., Kolodziej, J. y Fernández-Montes González, A. (2018). Security supportive energy-aware scheduling and energy policies for cloud environments. Journal of Parallel and Distributed Computing, 119 (september 2018), 191-202. | |
dc.identifier.issn | 0743-7315 | es |
dc.identifier.uri | https://hdl.handle.net/11441/83640 | |
dc.description.abstract | Cloud computing (CC) systems are the most popular computational environments for providing elastic
and scalable services on a massive scale. The nature of such systems often results in energy-related
problems that have to be solved for sustainability, cost reduction, and environment protection.
In this paper we defined and developed a set of performance and energy-aware strategies for resource
allocation, task scheduling, and for the hibernation of virtual machines. The idea behind this model is to
combine energy and performance-aware scheduling policies in order to hibernate those virtual machines
that operate in idle state. The efficiency achieved by applying the proposed models has been tested using
a realistic large-scale CC system simulator. Obtained results show that a balance between low energy
consumption and short makespan can be achieved.
Several security constraints may be considered in this model. Each security constraint is characterized
by: (a) Security Demands (SD) of tasks; and (b) Trust Levels (TL) provided by virtual machines. SD and TL
are computed during the scheduling process in order to provide proper security services.
Experimental results show that the proposed solution reduces up to 45% of the energy consumption
of the CC system. Such significant improvement was achieved by the combination of an energy-aware
scheduler with energy-efficiency policies focused on the hibernation of VMs. | es |
dc.description.sponsorship | COST Action IC1406 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Parallel and Distributed Computing, 119 (september 2018), 191-202. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Cloud computing | es |
dc.subject | Energy efficiency | es |
dc.subject | Independent task scheduling | es |
dc.subject | Genetic algorithms | es |
dc.subject | VM hibernating | es |
dc.subject | Cloud security | es |
dc.title | Security supportive energy-aware scheduling and energy policies for cloud environments | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | IC1406 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0743731518302843 | es |
dc.identifier.doi | 10.1016/j.jpdc.2018.04.015 | es |
idus.format.extent | 11 | es |
dc.journaltitle | Journal of Parallel and Distributed Computing | es |
dc.publication.volumen | 119 | es |
dc.publication.issue | september 2018 | es |
dc.publication.initialPage | 191 | es |
dc.publication.endPage | 202 | es |