{"title":"LTBD:分类框架","authors":"W. Tsai, Wu Li, Guanqiu Qi","doi":"10.1109/SOSE.2016.54","DOIUrl":null,"url":null,"abstract":"Log, used for saving the production behaviors in transaction processing system in a cloud, is widely used to triage production failures. Log has posed challenges for cloud as its large volume in data, unstructured formats and untraceable failures. The paper proposes a new logging solution for effective and efficient triaging of the production failures.","PeriodicalId":153118,"journal":{"name":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"LTBD: A Triage Framework\",\"authors\":\"W. Tsai, Wu Li, Guanqiu Qi\",\"doi\":\"10.1109/SOSE.2016.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Log, used for saving the production behaviors in transaction processing system in a cloud, is widely used to triage production failures. Log has posed challenges for cloud as its large volume in data, unstructured formats and untraceable failures. The paper proposes a new logging solution for effective and efficient triaging of the production failures.\",\"PeriodicalId\":153118,\"journal\":{\"name\":\"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOSE.2016.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOSE.2016.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Log, used for saving the production behaviors in transaction processing system in a cloud, is widely used to triage production failures. Log has posed challenges for cloud as its large volume in data, unstructured formats and untraceable failures. The paper proposes a new logging solution for effective and efficient triaging of the production failures.