{"title":"云可靠性分析:描述Google集群基础设施的可靠性","authors":"M. Mesbahi, A. Rahmani, M. Hosseinzadeh","doi":"10.1109/ICWR.2017.7959305","DOIUrl":null,"url":null,"abstract":"Cloud computing data centers offer high available and reliable infrastructures for hosting critical applications and data. These data centers host hundreds of thousands physical machines to response to incoming workload as job executing. In this paper, we analyze the Google cloud cluster properties to investigate the relationship among machine failures, updates, and job failures. We present the statistical properties of Google machines and job failures and attempt to correlate them during a 29-day period behave. We classify the machine and job failures per day and represent a reliability model for Google cluster machines using the Continues Time Markov Chains.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Cloud dependability analysis: Characterizing Google cluster infrastructure reliability\",\"authors\":\"M. Mesbahi, A. Rahmani, M. Hosseinzadeh\",\"doi\":\"10.1109/ICWR.2017.7959305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing data centers offer high available and reliable infrastructures for hosting critical applications and data. These data centers host hundreds of thousands physical machines to response to incoming workload as job executing. In this paper, we analyze the Google cloud cluster properties to investigate the relationship among machine failures, updates, and job failures. We present the statistical properties of Google machines and job failures and attempt to correlate them during a 29-day period behave. We classify the machine and job failures per day and represent a reliability model for Google cluster machines using the Continues Time Markov Chains.\",\"PeriodicalId\":304897,\"journal\":{\"name\":\"2017 3th International Conference on Web Research (ICWR)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3th International Conference on Web Research (ICWR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWR.2017.7959305\",\"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 3th International Conference on Web Research (ICWR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWR.2017.7959305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud dependability analysis: Characterizing Google cluster infrastructure reliability
Cloud computing data centers offer high available and reliable infrastructures for hosting critical applications and data. These data centers host hundreds of thousands physical machines to response to incoming workload as job executing. In this paper, we analyze the Google cloud cluster properties to investigate the relationship among machine failures, updates, and job failures. We present the statistical properties of Google machines and job failures and attempt to correlate them during a 29-day period behave. We classify the machine and job failures per day and represent a reliability model for Google cluster machines using the Continues Time Markov Chains.
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