J. Olivares-Rojas, E. Reyes-Archundia, J. Gutiérrez-Gnecchi, Ismael Molina-Moreno, Jaime Cerda-Jacobo, Arturo Méndez-Patiño
{"title":"A Comparative Assessment of Embedded Databases for Smart Metering Systems","authors":"J. Olivares-Rojas, E. Reyes-Archundia, J. Gutiérrez-Gnecchi, Ismael Molina-Moreno, Jaime Cerda-Jacobo, Arturo Méndez-Patiño","doi":"10.1109/ISGTLatinAmerica52371.2021.9543058","DOIUrl":null,"url":null,"abstract":"This work presents a comparative study of various embedded database schemes for applications in smart metering systems to determine what the best way to store is and retrieve information in smart meters. The assessment comparative takes into consideration a literature review and diverse database technologies factors. The results obtained can help database administrators to choose the right database not only in the smart grid domain but also in different Internet of Things database applications.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work presents a comparative study of various embedded database schemes for applications in smart metering systems to determine what the best way to store is and retrieve information in smart meters. The assessment comparative takes into consideration a literature review and diverse database technologies factors. The results obtained can help database administrators to choose the right database not only in the smart grid domain but also in different Internet of Things database applications.