Study on dynamic resources allocation of virtual desktop infrastructure - Taking learning application in campus as an example

Autor: LIN, WEN-SHENG, 林文生
Rok vydání: 2019
Druh dokumentu: 學位論文 ; thesis
Popis: 107
Virtualization is a popular technology applied in the higher education. Many univer-sities have built-up Virtual Desktop In-frastructure (VDI) for management issues. There are several characteristics of VDI in campus: large-scale users and few limitations for us-age behaviors; therefore, it is not so efficient for computing resource management by ap-plying a “template” in the VDI environment to generate user’s virtual desktop with the same configuration. For some users, the resources are overrated. For those re-sources-demanded users, the allocation of resources is not sufficient. From management viewpoint, the massive and un-management user behaviors will cause the difficulties of computing resource management. Under the normal architecture of VDI, most of the virtualization platform equip the mechanism of resource usage balance for server. The usual idea is transfer virtual ma-chines dynamically to server with low level rate loading, However, this method is consid-ering only with the viewpoint of server computing resource allocation, without the con-sideration of the resource usage for virtual desktops. If the overloaded situation of whole server computing resource is caused by resource overloaded of many virtual desktops, the normal resource-balanced method of virtualization platform can not work efficiently. This research will provide a mechanism to adjust computing resources of VDI envi-ronment dynamically in Higher education by considering the computing resource usage from the virtual desktop viewpoint. This method will provide more computing resources by considering the computing resource usage demand of virtual desktop, and then, can enhance the efficiency of the whole CPUs in the virtualization environment. Therefore, managers of VDI in Higher education can use this research to improve the management of computing resources.
Databáze: Networked Digital Library of Theses & Dissertations