{"title":"数据中心站点风险度量的框架","authors":"M. Levy, D. Raviv","doi":"10.1109/UEMCON.2017.8248970","DOIUrl":null,"url":null,"abstract":"Given the mission critical nature of data centers, metrics must provide a holistic understanding of the data center behavior, which is only viable if risks to the actual operation are considered. This paper proposes a framework for measuring data center site risk. The proposed methodology is aimed at standardizing a process to help evaluate data center sites and compare them to each other, or compare different scenarios where the data center operates. It establishes a process under defined criteria for the site risk analysis, despite the fact that much of that criteria is based on standards and expert knowledge. The metric is also a way to communicate and better understand risks due to the data center location, and help evaluate mitigation strategies.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A framework for data center site risk metric\",\"authors\":\"M. Levy, D. Raviv\",\"doi\":\"10.1109/UEMCON.2017.8248970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given the mission critical nature of data centers, metrics must provide a holistic understanding of the data center behavior, which is only viable if risks to the actual operation are considered. This paper proposes a framework for measuring data center site risk. The proposed methodology is aimed at standardizing a process to help evaluate data center sites and compare them to each other, or compare different scenarios where the data center operates. It establishes a process under defined criteria for the site risk analysis, despite the fact that much of that criteria is based on standards and expert knowledge. The metric is also a way to communicate and better understand risks due to the data center location, and help evaluate mitigation strategies.\",\"PeriodicalId\":403890,\"journal\":{\"name\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UEMCON.2017.8248970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UEMCON.2017.8248970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Given the mission critical nature of data centers, metrics must provide a holistic understanding of the data center behavior, which is only viable if risks to the actual operation are considered. This paper proposes a framework for measuring data center site risk. The proposed methodology is aimed at standardizing a process to help evaluate data center sites and compare them to each other, or compare different scenarios where the data center operates. It establishes a process under defined criteria for the site risk analysis, despite the fact that much of that criteria is based on standards and expert knowledge. The metric is also a way to communicate and better understand risks due to the data center location, and help evaluate mitigation strategies.