{"title":"A practical implementation of smart home energy data storage and control application based on cloud services","authors":"Mihail Lyaskov, G. Spasov, G. Petrova","doi":"10.1109/ET.2017.8124387","DOIUrl":null,"url":null,"abstract":"This paper presents the development and realization of distributed energy data storage and control application based on cloud technologies. The LAN is built by cloud connected devices and Olinuxino A20 single board computer. The developed application utilizes microservices based architecture which improves code maintenance, enables easier scalability and improves the reliability of the system. The implemented application presents three services: DeviceHive connector, Database and Schedule service. Each of them uses its own instance of a database for storing service related data. This approach enables the performing of local control over the demand response without using cloud control logic. The application is built using mostly open source software modules.","PeriodicalId":127983,"journal":{"name":"2017 XXVI International Scientific Conference Electronics (ET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XXVI International Scientific Conference Electronics (ET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ET.2017.8124387","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 presents the development and realization of distributed energy data storage and control application based on cloud technologies. The LAN is built by cloud connected devices and Olinuxino A20 single board computer. The developed application utilizes microservices based architecture which improves code maintenance, enables easier scalability and improves the reliability of the system. The implemented application presents three services: DeviceHive connector, Database and Schedule service. Each of them uses its own instance of a database for storing service related data. This approach enables the performing of local control over the demand response without using cloud control logic. The application is built using mostly open source software modules.
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