{"title":"Monitoring and Capacity Planning of Private Clouds: The Challenges and the Solution","authors":"G. Adinarayan","doi":"10.1109/CCEM.2012.6354625","DOIUrl":null,"url":null,"abstract":"Urban population is moving from independent houses to apartments in order to have more facilities at lesser cost. Similarly many enterprises are moving their workload/applications from individual dedicated servers to shared servers in cloud. Monitoring and managing cloud is very different from monitoring and managing individual servers. This paper will detail the challenges involved in monitoring private clouds and how IBM SmartCloud Monitoring can be used in this space by using its capabilities such as virtual server monitoring, capacity planning based on past usage data, policy based placement to support workload specific topology.","PeriodicalId":409273,"journal":{"name":"2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCEM.2012.6354625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Urban population is moving from independent houses to apartments in order to have more facilities at lesser cost. Similarly many enterprises are moving their workload/applications from individual dedicated servers to shared servers in cloud. Monitoring and managing cloud is very different from monitoring and managing individual servers. This paper will detail the challenges involved in monitoring private clouds and how IBM SmartCloud Monitoring can be used in this space by using its capabilities such as virtual server monitoring, capacity planning based on past usage data, policy based placement to support workload specific topology.