{"title":"多用途雾计算系统的雾节点模型研究","authors":"Jemshit Tuvakov, Kee-Hyun Park","doi":"10.1109/IEMCON.2018.8614845","DOIUrl":null,"url":null,"abstract":"Fog computing aims to process the data locally and transmit only meaningful part of the data to the cloud instead of transmitting the raw data. Consequently, it helps reduce the volume of data and react to real-time events with lower latency for IoT systems. In this work, we introduced a conceptual fog node model for multi-purpose fog computing systems. This fog node model contains modules, such as analytics tools, collaboration logic, cryptography, etc. that are essential to accomplish the goals of fog computing.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":" 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On the Fog Node Model for Multi-purpose Fog Computing Systems\",\"authors\":\"Jemshit Tuvakov, Kee-Hyun Park\",\"doi\":\"10.1109/IEMCON.2018.8614845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fog computing aims to process the data locally and transmit only meaningful part of the data to the cloud instead of transmitting the raw data. Consequently, it helps reduce the volume of data and react to real-time events with lower latency for IoT systems. In this work, we introduced a conceptual fog node model for multi-purpose fog computing systems. This fog node model contains modules, such as analytics tools, collaboration logic, cryptography, etc. that are essential to accomplish the goals of fog computing.\",\"PeriodicalId\":368939,\"journal\":{\"name\":\"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"volume\":\" 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCON.2018.8614845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON.2018.8614845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Fog Node Model for Multi-purpose Fog Computing Systems
Fog computing aims to process the data locally and transmit only meaningful part of the data to the cloud instead of transmitting the raw data. Consequently, it helps reduce the volume of data and react to real-time events with lower latency for IoT systems. In this work, we introduced a conceptual fog node model for multi-purpose fog computing systems. This fog node model contains modules, such as analytics tools, collaboration logic, cryptography, etc. that are essential to accomplish the goals of fog computing.
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