{"title":"网络化Windows NT系统现场故障数据分析","authors":"Jun Xu, Z. Kalbarczyk, R. Iyer","doi":"10.1109/PRDC.1999.816227","DOIUrl":null,"url":null,"abstract":"This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a production environment over a four-month period. The event logs at hand contains only system reboot information. We study individual server failures and domain behavior in order to characterize failure behavior and explore error propagation between servers. The key observations from this study are: (1) system software and hardware failures are the two major contributors to the total system downtime (22% and 10%), (2) recovery from application software failures are usually quick, (3) in many cases, more than one reboots are required to recover from a failure, (4) the average availability of an individual server is over 99%, (5) there is a strong indication of error dependency or error propagation across the network, (6) most (58%) reboots are unclassified indicating the need for better logging techniques, (7) maintenance and configuration contribute to 24% of system downtime.","PeriodicalId":389294,"journal":{"name":"Proceedings 1999 Pacific Rim International Symposium on Dependable Computing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"154","resultStr":"{\"title\":\"Networked Windows NT system field failure data analysis\",\"authors\":\"Jun Xu, Z. Kalbarczyk, R. Iyer\",\"doi\":\"10.1109/PRDC.1999.816227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a production environment over a four-month period. The event logs at hand contains only system reboot information. We study individual server failures and domain behavior in order to characterize failure behavior and explore error propagation between servers. The key observations from this study are: (1) system software and hardware failures are the two major contributors to the total system downtime (22% and 10%), (2) recovery from application software failures are usually quick, (3) in many cases, more than one reboots are required to recover from a failure, (4) the average availability of an individual server is over 99%, (5) there is a strong indication of error dependency or error propagation across the network, (6) most (58%) reboots are unclassified indicating the need for better logging techniques, (7) maintenance and configuration contribute to 24% of system downtime.\",\"PeriodicalId\":389294,\"journal\":{\"name\":\"Proceedings 1999 Pacific Rim International Symposium on Dependable Computing\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"154\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1999 Pacific Rim International Symposium on Dependable Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRDC.1999.816227\",\"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 1999 Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.1999.816227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Networked Windows NT system field failure data analysis
This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a production environment over a four-month period. The event logs at hand contains only system reboot information. We study individual server failures and domain behavior in order to characterize failure behavior and explore error propagation between servers. The key observations from this study are: (1) system software and hardware failures are the two major contributors to the total system downtime (22% and 10%), (2) recovery from application software failures are usually quick, (3) in many cases, more than one reboots are required to recover from a failure, (4) the average availability of an individual server is over 99%, (5) there is a strong indication of error dependency or error propagation across the network, (6) most (58%) reboots are unclassified indicating the need for better logging techniques, (7) maintenance and configuration contribute to 24% of system downtime.
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