Goal-driven optimization strategy for energy and performance-aware data centers for Cloud-based Wind Farm CMS
dc.contributor.author | Elijorde, Frank | |
dc.contributor.author | Kim, Sungho | |
dc.contributor.author | Lee, Jaewan | |
dc.date.accessioned | 2022-04-19T10:28:54Z | |
dc.date.available | 2022-04-19T10:28:54Z | |
dc.date.issued | 2016-03-31 | |
dc.identifier.citation | Elijorde, F., Kim, S., & Lee, J. (2016). Goal-driven optimization strategy for energy and performance-aware data centers for Cloud-based Wind Farm CMS. KSII Transactions on Internet and Information Systems, 10(3), 1362-1376. https://doi.org/10.3837/tiis.2016.03.024 | en |
dc.identifier.uri | http://repository.wvsu.edu.ph/handle/123456789/94 | |
dc.description.abstract | A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud’s highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine’s major components in concurrent, yet isolated working environments. | en |
dc.description.sponsorship | A preliminary version of this paper was presented at APIC-IST 2015 and was selected as an outstanding paper. This work (Grants No.C0268141) was supported by Business for Academic-industrial Cooperative establishments funded Korea Small and Medium Business Administration in 2015. | en |
dc.language.iso | en | en |
dc.publisher | Korean Society of Internet Information | en |
dc.relation.uri | en | |
dc.subject | Cloud data centers | en |
dc.subject | Cloud computing | en |
dc.subject | Green computing | en |
dc.subject | Wind turbines | en |
dc.subject | Condition monitoring system | en |
dc.subject.lcsh | Cloud computing | en |
dc.subject.lcsh | Wind power plants | en |
dc.subject.lcsh | Power resources | en |
dc.subject.lcsh | Renewable energy sources | en |
dc.subject.lcsh | Energy consumption | en |
dc.subject.lcsh | Wind turbines | en |
dc.title | Goal-driven optimization strategy for energy and performance-aware data centers for Cloud-based Wind Farm CMS | en |
dc.type | Article | en |
dcterms.accessRights | Open access | en |
dc.citation.journaltitle | KSII Transactions on Internet and Information Systems | en |
dc.citation.volume | 10 | en |
dc.citation.issue | 3 | en |
dc.citation.firstpage | 1362 | en |
dc.citation.lastpage | 1376 | en |
dc.identifier.essn | 1976-7277 | |
dc.identifier.doi | 10.3837/tiis.2016.03.024 | |
local.isIndexedBy | ISI | en |
local.isIndexedBy | Scopus | en |
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