Private cloud deployment method and device based on operation and maintenance big data optimization

Private cloud deployment method and device based on operation and maintenance big data optimization

The invention provides a private cloud deployment method and device based on operation and maintenance big data optimization. The private cloud deployment method based on operation and maintenance big data optimization comprises an operation and maintenance collection analysis and resource applicati...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: XU XIAOQING, ZHANG ZHIWEI, PENG SHUTING, ZOU GUODONG, QIN XUEYI, LU BOLIANG, DU GUISHAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention provides a private cloud deployment method and device based on operation and maintenance big data optimization. The private cloud deployment method based on operation and maintenance big data optimization comprises an operation and maintenance collection analysis and resource application process; wherein the operation and maintenance acquisition and analysis specifically comprises the following steps: S1, a cloud management platform regularly acquires each private cloud resource, including operation and maintenance data of a host machine, a virtual machine and network equipment; the operation and maintenance data comprises state data and performance data. According to the private cloud deployment method and device based on operation and maintenance big data optimization, a quantitative scoring strategy algorithm and an intelligent analysis deployment algorithm are introduced on the basis of operation and maintenance big data, the difficult and key problems in the prior art are solved by adjustin