P. Venkateswaran, Aruna Malapati, M. Natu, V. Sadaphal
{"title":"Towards next-generation alert management of data centers","authors":"P. Venkateswaran, Aruna Malapati, M. Natu, V. Sadaphal","doi":"10.1109/COMSNETS.2016.7440016","DOIUrl":null,"url":null,"abstract":"The performance of today's enterprise IT systems depends upon the accurate generation of alerts to identify any anomalous behavior. Today's solutions however suffer from several shortcomings. The configurations are manual and do not adapt to any system changes. A large volume of redundant alerts are generated leading to inefficient resolution. Moreover, the generated alerts are reactive in nature and provide less time to take corrective actions. In this paper, we address the issues of setting the correct configurations, aggregating redundancies and generating proactive alerts. We demonstrate the effectiveness of our approach on a real-world case-study.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS.2016.7440016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The performance of today's enterprise IT systems depends upon the accurate generation of alerts to identify any anomalous behavior. Today's solutions however suffer from several shortcomings. The configurations are manual and do not adapt to any system changes. A large volume of redundant alerts are generated leading to inefficient resolution. Moreover, the generated alerts are reactive in nature and provide less time to take corrective actions. In this paper, we address the issues of setting the correct configurations, aggregating redundancies and generating proactive alerts. We demonstrate the effectiveness of our approach on a real-world case-study.