{"title":"Physical Assembly Mapper: A Model-Driven Optimization Tool for QoS-Enabled Component Middleware","authors":"K. Balasubramanian, D. Schmidt","doi":"10.1109/RTAS.2008.36","DOIUrl":null,"url":null,"abstract":"This paper provides four contributions to the study of optimization techniques for component-based distributed real-time and embedded (DRE) systems. First, we describe key challenges of designing component-based DRE systems and identify key sources of overhead in a typical component-based DRE system from the domain of shipboard computing. Second, we describe a class of optimization techniques applicable to the deployment of component-based DRE systems. Third, we describe the physical assembly mapper (PAM), which is a model-driven optimization tool that implements these techniques to reduce footprint. Fourth, we evaluate the benefits of these optimization techniques empirically and analyze the results. Our results indicate that the deployment-time optimization techniques in PAM provides significant benefits, such as 45% improvement in footprint, when compared to conventional component middleware technologies.","PeriodicalId":130593,"journal":{"name":"2008 IEEE Real-Time and Embedded Technology and Applications Symposium","volume":"os-29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Real-Time and Embedded Technology and Applications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTAS.2008.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper provides four contributions to the study of optimization techniques for component-based distributed real-time and embedded (DRE) systems. First, we describe key challenges of designing component-based DRE systems and identify key sources of overhead in a typical component-based DRE system from the domain of shipboard computing. Second, we describe a class of optimization techniques applicable to the deployment of component-based DRE systems. Third, we describe the physical assembly mapper (PAM), which is a model-driven optimization tool that implements these techniques to reduce footprint. Fourth, we evaluate the benefits of these optimization techniques empirically and analyze the results. Our results indicate that the deployment-time optimization techniques in PAM provides significant benefits, such as 45% improvement in footprint, when compared to conventional component middleware technologies.