{"title":"面向安防行业的BDaaS云平台研究与实现","authors":"Lianqing Wang, Rong Che, Nie Jing","doi":"10.1145/3341069.3341077","DOIUrl":null,"url":null,"abstract":"with the sharp growth of security data and equipment resources in the security industry, the traditional management mode caused such problems as low utilization rate, poor flexibility, weak scheduling ability, insufficient scalability and serious waste. And at present, few researchers in the security industry use the idea of big data to analyze and process security data. In this paper, based on the idea of cloud computing and big data, the demand analysis of security industry data cloud management was completed, and by using cloud computing virtualization technology, the security industry big data platform was demonstrated and designed, realized the integration of resources and data within the security industry. The data application and processing cluster of security industry could be constructed by deploying computing nodes quickly, and computing resources could be allocated on demand to reduce redundant deployment of security management and waste of resources. The functions of security incident alarm management, security patrol management, security resource management, decision support, data operation and maintenance were realized. Through functional testing and performance testing, it was proved that the BDaaS cloud platform for security industry had greatly improved the data storage capacity, stability, security data processing efficiency and operation response speed of the original security management platform.","PeriodicalId":411198,"journal":{"name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Implementation of BDaaS Cloud Platform for Security Industry\",\"authors\":\"Lianqing Wang, Rong Che, Nie Jing\",\"doi\":\"10.1145/3341069.3341077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"with the sharp growth of security data and equipment resources in the security industry, the traditional management mode caused such problems as low utilization rate, poor flexibility, weak scheduling ability, insufficient scalability and serious waste. And at present, few researchers in the security industry use the idea of big data to analyze and process security data. In this paper, based on the idea of cloud computing and big data, the demand analysis of security industry data cloud management was completed, and by using cloud computing virtualization technology, the security industry big data platform was demonstrated and designed, realized the integration of resources and data within the security industry. The data application and processing cluster of security industry could be constructed by deploying computing nodes quickly, and computing resources could be allocated on demand to reduce redundant deployment of security management and waste of resources. The functions of security incident alarm management, security patrol management, security resource management, decision support, data operation and maintenance were realized. Through functional testing and performance testing, it was proved that the BDaaS cloud platform for security industry had greatly improved the data storage capacity, stability, security data processing efficiency and operation response speed of the original security management platform.\",\"PeriodicalId\":411198,\"journal\":{\"name\":\"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3341069.3341077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341069.3341077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Implementation of BDaaS Cloud Platform for Security Industry
with the sharp growth of security data and equipment resources in the security industry, the traditional management mode caused such problems as low utilization rate, poor flexibility, weak scheduling ability, insufficient scalability and serious waste. And at present, few researchers in the security industry use the idea of big data to analyze and process security data. In this paper, based on the idea of cloud computing and big data, the demand analysis of security industry data cloud management was completed, and by using cloud computing virtualization technology, the security industry big data platform was demonstrated and designed, realized the integration of resources and data within the security industry. The data application and processing cluster of security industry could be constructed by deploying computing nodes quickly, and computing resources could be allocated on demand to reduce redundant deployment of security management and waste of resources. The functions of security incident alarm management, security patrol management, security resource management, decision support, data operation and maintenance were realized. Through functional testing and performance testing, it was proved that the BDaaS cloud platform for security industry had greatly improved the data storage capacity, stability, security data processing efficiency and operation response speed of the original security management platform.