{"title":"面向未来工厂的探索性数据分析平台","authors":"E. Zeydan, Ömer Dedeoglu","doi":"10.1109/ISNCC.2019.8909119","DOIUrl":null,"url":null,"abstract":"Factories of Future (FoF) is an emerging vertical sector towards 5G network evolution. Fine-grained monitoring the network performance of FoF environment can help to extract insight on the quality-of-service (QoS) of a given industrial service provided by next generation cellular technologies. However, one of the main solutins that mobile network operators (MNOs) are investing today is on data evaluation tools that can be integrated withing their network infrastructure. In this paper using the open-source analytics tools, we analyze the industrial network traffic characteristics behaviour of an operational cellular network of a MNO. Our results finds out the relationship between various key performance indicators (KPIs) and extract insights on the performance and operational aspects of a factory environment using the cellular networks data with ElasticSearch stack's data analytics capabilities.","PeriodicalId":187178,"journal":{"name":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Exploratory Data Analytics Platform for Factories of Future\",\"authors\":\"E. Zeydan, Ömer Dedeoglu\",\"doi\":\"10.1109/ISNCC.2019.8909119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Factories of Future (FoF) is an emerging vertical sector towards 5G network evolution. Fine-grained monitoring the network performance of FoF environment can help to extract insight on the quality-of-service (QoS) of a given industrial service provided by next generation cellular technologies. However, one of the main solutins that mobile network operators (MNOs) are investing today is on data evaluation tools that can be integrated withing their network infrastructure. In this paper using the open-source analytics tools, we analyze the industrial network traffic characteristics behaviour of an operational cellular network of a MNO. Our results finds out the relationship between various key performance indicators (KPIs) and extract insights on the performance and operational aspects of a factory environment using the cellular networks data with ElasticSearch stack's data analytics capabilities.\",\"PeriodicalId\":187178,\"journal\":{\"name\":\"2019 International Symposium on Networks, Computers and Communications (ISNCC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Symposium on Networks, Computers and Communications (ISNCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISNCC.2019.8909119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNCC.2019.8909119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Exploratory Data Analytics Platform for Factories of Future
Factories of Future (FoF) is an emerging vertical sector towards 5G network evolution. Fine-grained monitoring the network performance of FoF environment can help to extract insight on the quality-of-service (QoS) of a given industrial service provided by next generation cellular technologies. However, one of the main solutins that mobile network operators (MNOs) are investing today is on data evaluation tools that can be integrated withing their network infrastructure. In this paper using the open-source analytics tools, we analyze the industrial network traffic characteristics behaviour of an operational cellular network of a MNO. Our results finds out the relationship between various key performance indicators (KPIs) and extract insights on the performance and operational aspects of a factory environment using the cellular networks data with ElasticSearch stack's data analytics capabilities.
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