J. V. L. D. Monte, Vinicius Matos da Silveira Fraga, A. M. N. C. Ribeiro, D. Sadok, J. Kelner
{"title":"IMMS: IoT Management and Monitoring System","authors":"J. V. L. D. Monte, Vinicius Matos da Silveira Fraga, A. M. N. C. Ribeiro, D. Sadok, J. Kelner","doi":"10.1109/ISCC.2018.8538755","DOIUrl":null,"url":null,"abstract":"The Internet of Things already comprehends billions of connected smart devices. The related issues are vast as well, ranging from the lack of standardized communication to big data management. This paper presents IoT Management and Monitoring System (IMMS), a solution focused on the management of big environments such as smart cities. The The proposed platform brings a novel database implementation to handle large volumes of data and provide quick responses to queries. Its design allows scalable and distributed deployments, while accepting diverse data types. The system was evaluated both in a real-world testbed, in a university campus, and a simulated environment. Results showed low CPU costs while consuming 1.1GB to store 21.5 million measurements. Besides, its scalability behaved as expected, maintaining its performance adequate as data volume increased.","PeriodicalId":233592,"journal":{"name":"2018 IEEE Symposium on Computers and Communications (ISCC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Computers and Communications (ISCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC.2018.8538755","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
The Internet of Things already comprehends billions of connected smart devices. The related issues are vast as well, ranging from the lack of standardized communication to big data management. This paper presents IoT Management and Monitoring System (IMMS), a solution focused on the management of big environments such as smart cities. The The proposed platform brings a novel database implementation to handle large volumes of data and provide quick responses to queries. Its design allows scalable and distributed deployments, while accepting diverse data types. The system was evaluated both in a real-world testbed, in a university campus, and a simulated environment. Results showed low CPU costs while consuming 1.1GB to store 21.5 million measurements. Besides, its scalability behaved as expected, maintaining its performance adequate as data volume increased.