{"title":"Performance analyzer: An approach for performance analysis of enterprise servers","authors":"K. Sandeep, M. Raghavendra, K. Shetty","doi":"10.1109/RTEICT.2016.7807867","DOIUrl":null,"url":null,"abstract":"Performance analysis is critical for ensuring that a computer system operates with desired efficiency. There are many challenges in analyzing the performance of enterprise servers such as the manual steps involved in the process, lack of visual analysis and reporting, time required to analyze related metrics, lack of open source tools for performance analysis of enterprise servers. This paper proposes a simple, yet efficient methodology for addressing these common problems faced and makes the task of performance analysis easier and effective. The implementation is focused on developing a generic performance analysis tool called `Performance Analyzer'. The important features of the tool are it is server and database agnostic, reusable templates, visual analysis of data, report generation and BigData analysis. The tool was tested by analyzing the performance of HPE NonStop servers and the results shows a considerable improvement in time, effort required and effectiveness of performance analysis. Specifically, for analysis carried out for correlating the values of performance metrics of different data sets and getting the overview of the performance data, the time required for analysis was reduced by more than 5 times.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"195 1","pages":"480-484"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2016.7807867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Performance analysis is critical for ensuring that a computer system operates with desired efficiency. There are many challenges in analyzing the performance of enterprise servers such as the manual steps involved in the process, lack of visual analysis and reporting, time required to analyze related metrics, lack of open source tools for performance analysis of enterprise servers. This paper proposes a simple, yet efficient methodology for addressing these common problems faced and makes the task of performance analysis easier and effective. The implementation is focused on developing a generic performance analysis tool called `Performance Analyzer'. The important features of the tool are it is server and database agnostic, reusable templates, visual analysis of data, report generation and BigData analysis. The tool was tested by analyzing the performance of HPE NonStop servers and the results shows a considerable improvement in time, effort required and effectiveness of performance analysis. Specifically, for analysis carried out for correlating the values of performance metrics of different data sets and getting the overview of the performance data, the time required for analysis was reduced by more than 5 times.