Dr Rajanikanth Aluvalu, Lakshmi Muddana, V. Uma Maheswari, Krishna Keerthi Channam, Swapna Mudrakola, M. Sirajuddin, Cvr Syavasya
{"title":"雾计算:应用、挑战和机遇","authors":"Dr Rajanikanth Aluvalu, Lakshmi Muddana, V. Uma Maheswari, Krishna Keerthi Channam, Swapna Mudrakola, M. Sirajuddin, Cvr Syavasya","doi":"10.32629/jai.v5i2.545","DOIUrl":null,"url":null,"abstract":"Cloud computing, is a widely accepted utility computing model. All the application processing takes place in the cloud data center managed by the cloud service provider. This includes network latency and delays in processing. Each time the application is executed, data has to be transported from node to the cloud. This will increase network traffic and is practically not feasible to transport data from node to remote cloud server and back. Fog computing, a new paradigm of cloud computing will help in overcoming this challenge. In fog computing technology, the data processing tasks are executed at the node level either completely or partially, which highly increases the speed of responses. Also, it reduces latency, processing costs, and bandwidth problems, and improves the efficiency of customer driver services with better response time. Fog is highly useful in locations where network connectivity is an issue because fog has a separate protocol suite that will support weak network connections. In this article, the various parameters of the fog computing paradigm such as challenges, application, and opportunities are studied and presented","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fog Computing: Applications, Challenges, and Opportunities\",\"authors\":\"Dr Rajanikanth Aluvalu, Lakshmi Muddana, V. Uma Maheswari, Krishna Keerthi Channam, Swapna Mudrakola, M. Sirajuddin, Cvr Syavasya\",\"doi\":\"10.32629/jai.v5i2.545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing, is a widely accepted utility computing model. All the application processing takes place in the cloud data center managed by the cloud service provider. This includes network latency and delays in processing. Each time the application is executed, data has to be transported from node to the cloud. This will increase network traffic and is practically not feasible to transport data from node to remote cloud server and back. Fog computing, a new paradigm of cloud computing will help in overcoming this challenge. In fog computing technology, the data processing tasks are executed at the node level either completely or partially, which highly increases the speed of responses. Also, it reduces latency, processing costs, and bandwidth problems, and improves the efficiency of customer driver services with better response time. Fog is highly useful in locations where network connectivity is an issue because fog has a separate protocol suite that will support weak network connections. In this article, the various parameters of the fog computing paradigm such as challenges, application, and opportunities are studied and presented\",\"PeriodicalId\":70721,\"journal\":{\"name\":\"自主智能(英文)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"自主智能(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.32629/jai.v5i2.545\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"自主智能(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.32629/jai.v5i2.545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fog Computing: Applications, Challenges, and Opportunities
Cloud computing, is a widely accepted utility computing model. All the application processing takes place in the cloud data center managed by the cloud service provider. This includes network latency and delays in processing. Each time the application is executed, data has to be transported from node to the cloud. This will increase network traffic and is practically not feasible to transport data from node to remote cloud server and back. Fog computing, a new paradigm of cloud computing will help in overcoming this challenge. In fog computing technology, the data processing tasks are executed at the node level either completely or partially, which highly increases the speed of responses. Also, it reduces latency, processing costs, and bandwidth problems, and improves the efficiency of customer driver services with better response time. Fog is highly useful in locations where network connectivity is an issue because fog has a separate protocol suite that will support weak network connections. In this article, the various parameters of the fog computing paradigm such as challenges, application, and opportunities are studied and presented