虛擬機撤離時間預測演算法之分析與比較;Analysis and comparison of VM evacuation boot time prediction Algorithm

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Title:	虛擬機撤離時間預測演算法之分析與比較;Analysis and comparison of VM evacuation boot time prediction Algorithm
Authors:	吳亭瑩;Wu, Ting-Ying
Contributors:	資訊工程學系
Keywords:	虛擬機放置;高可用性;資源管理;Virtual Machine placement;High availability;Resource Management
Date:	2021-08-18
Issue Date:	2021-12-07 13:08:36 (UTC+8)
Publisher:	國立中央大學
Abstract:	隨著以雲端服務為導向的商業模式蓬勃發展和基礎架構的雲端服務(IaaS)的日益成熟，過去傳統方式的建置服務已無法滿足使用者的需求，許多企業或是使用者選擇將服務放置在IaaS雲端服務供應商，IaaS是由實體和虛擬資源組成，其中虛擬化技術可以透過程式管理提升硬體使用率，搭配動態遷移技術將虛擬機從原本的實體機轉移到另一台實體機，使用者透過動態調整虛擬機位置，來確保最大限度的減少服務停機時間，同時減少中間消耗的能源。本論文以OpenStack的雲端平台系統做為虛擬機動態遷移的基礎，實驗虛擬機在實體機器上進行的撤離時間預測的準確性，並在其中比較不同因素對於撤離時間預測的影響並分析其造成的原因。;With business models for cloud computing flourishing and the maturity of Infrastructure as a service(IaaS), the traditional ways of building services in the past can no longer satisfy the demand of users, accordingly, many companies and users prefer to place their services on IaaS cloud servers. IaaS is composed of physical and virtual resources, its virtualization can increase hardware usage rate through program management, and it uses evacuate to move a running virtual machine between different physical machines. Users can dynamically adjust the position of the virtual machine to ensure that the service downtime is minimized and reduces energy consumption during the process at the same time. The thesis uses the cloud platform system of OpenStack as the basis for the evacuate of the virtual machine to test the accuracy of the virtual machine′s pre-evacuation time from the physical machine and comparing the influence of different factors on the pre-evacuation time as well as cause analysis.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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