{"title":"Web based analysis","authors":"M. P. Carroll, Christopher M. Hawkins","doi":"10.1145/566282.566315","DOIUrl":null,"url":null,"abstract":"Most of today's Web based solutions in the CAD/CAE arena are focused on the design and manufacturing part of the equation. As such, they are very focused on data security, sharing, and visualization. The processing of the data is still seen as mainly a desktop/client function. Analysis provides an opportunity to expand the role of the Web from a role of data sharing to one of distributed data processing. For analysis, data visualization is not a static function. Analysis runs can produce enormous results files that will burden even the fastest Web connections. Servers need to process this data into useable form for client requests. Also the Web provides an excellent distributed processing environment, which is crucial for design studies such as simple parametric studies, Design of Experiments (DOE), optimization, and probabilistic studies. Finally, the Web provides an excellent environment for team analysis.","PeriodicalId":286112,"journal":{"name":"International Conference on Smart Media and Applications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Smart Media and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/566282.566315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Most of today's Web based solutions in the CAD/CAE arena are focused on the design and manufacturing part of the equation. As such, they are very focused on data security, sharing, and visualization. The processing of the data is still seen as mainly a desktop/client function. Analysis provides an opportunity to expand the role of the Web from a role of data sharing to one of distributed data processing. For analysis, data visualization is not a static function. Analysis runs can produce enormous results files that will burden even the fastest Web connections. Servers need to process this data into useable form for client requests. Also the Web provides an excellent distributed processing environment, which is crucial for design studies such as simple parametric studies, Design of Experiments (DOE), optimization, and probabilistic studies. Finally, the Web provides an excellent environment for team analysis.
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