期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN:2347-6710
电子版ISSN:2319-8753
出版年度:2016
卷号:5
期号:5
页码:8885
DOI:10.15680/IJIRSET.2016.0505325
出版社:S&S Publications
摘要:With the recent virtualization technologies, in today’s data centre share physical or virtual resources ofapplication. Hence it takes a lot of time to monitor system health and historical data of application service managers. Inthese studies on integrated monitoring software suggest that it shortens the time required for monitoring of collectingand processing of historical data with five basic data formats. The results of survey show that proposed monitoringsoftware with all of the basic data formats supports 98.16% of monitoring tasks. This result suggests that the integratedmonitoring software is used effectively for reducing the cost of monitoring software and enhancing service availabilityof SaaS providers’ systems.
关键词:Anomaly Detection; Performance Prediction; Root Cause Analysis; Impact Analysis.