{"title":"Tool to evaluate performance in distributed heterogeneous processing","authors":"J. Mccann, K. Manning","doi":"10.1109/EMPDP.1998.647196","DOIUrl":null,"url":null,"abstract":"The next generation computing architectures will consist of a fusion of heterogeneous systems interoperating. This concept is gaining popularity yet there are currently few tools available for performance visualisation and management of heterogeneous interoperating systems using middleware. This paper looks at the design of middleware performance tools, using our current project as an example, focusing on information systems processing. We discuss the issues such as performance metrics (obtained from a user market study), raw performance data extraction, its analysis, and finally performance presentation and visualisation.","PeriodicalId":265140,"journal":{"name":"Proceedings of the Sixth Euromicro Workshop on Parallel and Distributed Processing - PDP '98 -","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth Euromicro Workshop on Parallel and Distributed Processing - PDP '98 -","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMPDP.1998.647196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The next generation computing architectures will consist of a fusion of heterogeneous systems interoperating. This concept is gaining popularity yet there are currently few tools available for performance visualisation and management of heterogeneous interoperating systems using middleware. This paper looks at the design of middleware performance tools, using our current project as an example, focusing on information systems processing. We discuss the issues such as performance metrics (obtained from a user market study), raw performance data extraction, its analysis, and finally performance presentation and visualisation.