TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS |
| 영문제목(English Title) |
Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS |
| 저자(Author) |
Frank Elijorde
Sungho Kim
Jaewan Lee
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| 원문수록처(Citation) |
VOL 10 NO. 03 PP. 1362 ~ 1376 (2016. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English 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.
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| 키워드(Keyword) |
Cloud Data Centers
Cloud Computing
Green Computing
Wind Turbines
Condition Monitoring System
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| 파일첨부 |
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