Ghadeer Alrehaili, N. Galam, Rawan Alawad, Lamya Albraheem
{"title":"Cloud-Based Big Data Analytics on IoT Applications","authors":"Ghadeer Alrehaili, N. Galam, Rawan Alawad, Lamya Albraheem","doi":"10.1109/ITIKD56332.2023.10100150","DOIUrl":null,"url":null,"abstract":"The high growth of the data produced in the last decades and the increase in its rapid consumption is associated with significant increase of the smart objects. However, these IoT applications generate data that will not be useful without the involvement of analytics to generate value and intelligent insight. This paper will review studies on cloud-based IoT applications and data analytics that exist in the literature from different perspectives. Moreover, this study adds value by providing comparisons directed towards the different IoT platforms, IoT data analytics techniques, transmission protocols, applications domain, dataset, results, and implementation environments. Finally, we partitioned the literature based on domain factors, and presented several industry trends for popular platforms.","PeriodicalId":283631,"journal":{"name":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITIKD56332.2023.10100150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The high growth of the data produced in the last decades and the increase in its rapid consumption is associated with significant increase of the smart objects. However, these IoT applications generate data that will not be useful without the involvement of analytics to generate value and intelligent insight. This paper will review studies on cloud-based IoT applications and data analytics that exist in the literature from different perspectives. Moreover, this study adds value by providing comparisons directed towards the different IoT platforms, IoT data analytics techniques, transmission protocols, applications domain, dataset, results, and implementation environments. Finally, we partitioned the literature based on domain factors, and presented several industry trends for popular platforms.