M. Lawenda, N. Meyer, Marcin Okon, T. Rajtar, D. Stoklosa, D. Kaliszan, M. Stroinski
{"title":"Dynamic measurement scenarios in the virtual laboratory system","authors":"M. Lawenda, N. Meyer, Marcin Okon, T. Rajtar, D. Stoklosa, D. Kaliszan, M. Stroinski","doi":"10.1109/GRID.2004.25","DOIUrl":null,"url":null,"abstract":"In the paper some dynamic measurement scenarios conception is presented. The dynamic measurement scenarios (DMS) are used for advanced workflow control in the virtual laboratory system. It facilitates defining and monitoring the measurement process from the preparation stage through experimental and computational processes to results analysis (based on the achieved visualization data). DMS often consists of many different tasks connected by links with specified conditions. To execute DMS we need a special application (during the definition process) on the one hand and on the other hand a sophisticated (and complex) module is needed for manage and control specified workflow. The described issues are illustrated by nuclear magnetic resonance (NMR) laboratory examples.","PeriodicalId":335281,"journal":{"name":"Fifth IEEE/ACM International Workshop on Grid Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth IEEE/ACM International Workshop on Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRID.2004.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In the paper some dynamic measurement scenarios conception is presented. The dynamic measurement scenarios (DMS) are used for advanced workflow control in the virtual laboratory system. It facilitates defining and monitoring the measurement process from the preparation stage through experimental and computational processes to results analysis (based on the achieved visualization data). DMS often consists of many different tasks connected by links with specified conditions. To execute DMS we need a special application (during the definition process) on the one hand and on the other hand a sophisticated (and complex) module is needed for manage and control specified workflow. The described issues are illustrated by nuclear magnetic resonance (NMR) laboratory examples.