{"title":"A Case Study on Granularity of Industrial Vision Services","authors":"Martin Rudorfer, Tessa J. Pannen, J. Krüger","doi":"10.1145/3284557.3284713","DOIUrl":null,"url":null,"abstract":"Software engineering paradigms such as service-oriented architectures are increasingly often applied in the field of factory automation. Functions like robot motion planning or object recognition are provided by cloud services. A crucial architectural aspect is the granularity, i.e. the scope and size of individual services. In our case study, we examine a service-based object recognition application for a robotic assembly use case. We implement three different granularity levels, measure their communication and computation times and discuss further architectural features. The fine-granular approach encapsulates individual image processing operations as services, which have high reusability but impose large communication overheads. The medium granularity approach is object-wise and offers best reuse efficiency and cohesion. The coarse solution offers the best performance.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3284557.3284713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Software engineering paradigms such as service-oriented architectures are increasingly often applied in the field of factory automation. Functions like robot motion planning or object recognition are provided by cloud services. A crucial architectural aspect is the granularity, i.e. the scope and size of individual services. In our case study, we examine a service-based object recognition application for a robotic assembly use case. We implement three different granularity levels, measure their communication and computation times and discuss further architectural features. The fine-granular approach encapsulates individual image processing operations as services, which have high reusability but impose large communication overheads. The medium granularity approach is object-wise and offers best reuse efficiency and cohesion. The coarse solution offers the best performance.
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