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Title page for etd-0129111-082037


URN etd-0129111-082037 Statistics This thesis had been viewed 1587 times. Download 0 times.
Author Jui-Chih Chang
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2010 Semester 1
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 54
Title An Extenics-based Dynamic Resource Adjustment Mechanism of the Virtual Machine for Cloud Computing
Keyword
  • Extenics
  • Virtual machine
  • dynamic resource adjustment
  • Virtualization
  • Virtualization
  • dynamic resource adjustment
  • Virtual machine
  • Extenics
  • Abstract Abstract
    In the cloud computing environment, the basic layer of IaaS (Infrastructure as a Service) is responsible for supporting computation, storage and internet access. In order to integrate the resources, utilize the resources flexibly, and to meet the demand of large scale data flow management and applications, a positive solution is applying the virtualization technology to reach this achievement. The virtualization technology means to pack a basic device or equipment into the file format like a packet and featuring as a workable and calculable source for computer operation to complete the task of integration. Various applications performed on a virtual platform, the required resources for individual application can be adjusted flexibly and effectively. How to adjust all resources dynamically for achieving the best performance is an important issue to develop and analyze. 
    In this thesis, an extenics-based dynamic resource adjustment mechanism for supporting cloud computing is proposed. Based on a KVM (Kernel-based Virtual Machine) technology, a relation function has been established by applying the extenics theory to determine the degree of CPU requirement for each application. According to the degree of CPU requirement, the proposed resource adjustment mechanism can provide a proper number of CPUs for each virtual machine dynamically. The experiment results show that the proposed mechanism can improve the performance of the system and distribute the source information in a real time with efficiency.
    Advisor Committee
  • Liang-Teh Lee - advisor
  • Chia-Ying Tseng - co-chair
  • Jin-Long Wang - co-chair
  • Files indicate not accessible
    Date of Defense 2011-01-07 Date of Submission 2011-02-09


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