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Title page for etd-0815112-181043


URN etd-0815112-181043 Statistics This thesis had been viewed 1176 times. Download 4 times.
Author Huei-yang Huang
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2011 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 36
Title DYNAMIC RESOURCE MANAGEMENT FOR ENEERGY SAVING IN THE CLOUD COMPUTING ENVIRONMENT
Keyword
  • Cloud computing
  • dynamic voltage scaling
  • virtual machine
  • virtual machine
  • dynamic voltage scaling
  • Cloud computing
  • Abstract Cloud computing has been seen as the new generation of IT industry in recent years. In the future, cloud computing services will be an important role to meet various needs of the people in our daily lives. In this concept, a lot of technology in cloud computing were generated. In cloud computing, one of the most important technologies is virtualization.
    One of the Cloud computing services is Infrastructure as a Service (IaaS). It offers resource on demand of guest’s requirement. Users can configure the hardware requirement in accordance with their needs of the hardware requirement. This thesis presents a method of dynamic voltage scaling for dynamic adjustment of resources by inspecting CPU utilization. The voltage of the idle computer can be reduced and heavy loaded works can be migrated to those machines with lighter loading for achieving the purpose of energy saving. The experimental results show that by applying the proposed mechanism, at the user unaware situation energy consumption can be saved significantly.
    Advisor Committee
  • Liang-Teh Lee - advisor
  • Chia-ying Tseng - co-chair
  • Jin-lung Wang - co-chair
  • Files indicate in-campus access only
    Date of Defense 2012-07-03 Date of Submission 2012-08-15


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