{"title":"Analysis of key technologies of cloud computing based on openstack cloud platform","authors":"Y. Sai, Tianjia Zhang","doi":"10.1117/12.2670496","DOIUrl":null,"url":null,"abstract":"With the rapid development of cloud computing technology, the problem of high energy consumption in data centers is becoming more and more obvious. Researchers pay more attention to how to guarantee the quality of service and improve the efficiency of resource application in their research. According to the analysis of the application of open source infrastructure service platform OpenStack proposed by experimental research in recent years, it is clear that the key technology points of cloud computing can provide an effective basis for the development of modern technology. Therefore, on the basis of understanding the research status of OpenStack cloud platform and cloud computing key technologies, this paper mainly discusses the agile elastic scaling technology with load prediction or feedback as the core. The final experimental results show that the proposed algorithm can use less disk space, improve the efficiency of resource application and service quality.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mathematics, Modeling and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2670496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of cloud computing technology, the problem of high energy consumption in data centers is becoming more and more obvious. Researchers pay more attention to how to guarantee the quality of service and improve the efficiency of resource application in their research. According to the analysis of the application of open source infrastructure service platform OpenStack proposed by experimental research in recent years, it is clear that the key technology points of cloud computing can provide an effective basis for the development of modern technology. Therefore, on the basis of understanding the research status of OpenStack cloud platform and cloud computing key technologies, this paper mainly discusses the agile elastic scaling technology with load prediction or feedback as the core. The final experimental results show that the proposed algorithm can use less disk space, improve the efficiency of resource application and service quality.