{"title":"Data Analysis for Embedded Software Performance and Energy Consumption Estimation","authors":"P. Ruberg, Elvar Liiv, Keijo Lass, P. Ellervee","doi":"10.1109/UKRCON.2019.8879787","DOIUrl":null,"url":null,"abstract":"This paper proposes a data processing and cleaning method for performance and energy consumption estimation methodology. The primary goal is to develop a MATLAB-based prototype program for extracting necessary information to create an estimation model. The existing data acquisition (DAQ) system was initially combined with spreadsheet based data processing that did not satisfy the data analysis needs. A modular MATLAB-based data processing and cleaning solution was developed in order to manage the requirements. The prototype solution was developed even further, as it was optimised for speed. As a result, more than 70% program execution speed-up was achieved compared to the prototype program. In this paper the MATLAB-based data processing and cleaning as well as analysis are described.","PeriodicalId":211302,"journal":{"name":"2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKRCON.2019.8879787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper proposes a data processing and cleaning method for performance and energy consumption estimation methodology. The primary goal is to develop a MATLAB-based prototype program for extracting necessary information to create an estimation model. The existing data acquisition (DAQ) system was initially combined with spreadsheet based data processing that did not satisfy the data analysis needs. A modular MATLAB-based data processing and cleaning solution was developed in order to manage the requirements. The prototype solution was developed even further, as it was optimised for speed. As a result, more than 70% program execution speed-up was achieved compared to the prototype program. In this paper the MATLAB-based data processing and cleaning as well as analysis are described.