{"title":"Benchmarking physical and virtual IoT platforms","authors":"S. Venticinque","doi":"10.1109/IC2E.2019.00040","DOIUrl":null,"url":null,"abstract":"The continuous feedback from the testing environment has always been a valuable support for the developer to optimize software design and implementation. Virtualization technologies offer the possibility to emulate the operating environments and to replicate various deployment configurations. They allow for collecting benchmark results which are relevant for tuning and optimizing the application and for predicting its performance in the target execution environment. In this paper we present experimental activities of benchmarking of an embedded platform in virtual and physical environments. A qualitative and quantitative comparison of collected measures will be discussed in order to understand how they would affect precision prediction.","PeriodicalId":226094,"journal":{"name":"2019 IEEE International Conference on Cloud Engineering (IC2E)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Cloud Engineering (IC2E)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2E.2019.00040","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
The continuous feedback from the testing environment has always been a valuable support for the developer to optimize software design and implementation. Virtualization technologies offer the possibility to emulate the operating environments and to replicate various deployment configurations. They allow for collecting benchmark results which are relevant for tuning and optimizing the application and for predicting its performance in the target execution environment. In this paper we present experimental activities of benchmarking of an embedded platform in virtual and physical environments. A qualitative and quantitative comparison of collected measures will be discussed in order to understand how they would affect precision prediction.