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The defense date of the thesis is 2011-02-09
The current date is 2019-07-18
URN etd-0129111-082037 Statistics This thesis had been viewed 1674 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 Date of Defense 2011-01-07 Date of Submission 2011-02-09