考虑用户不耐烦行为的雾系统性能分析

Pratyusa Mukherjee, V. Goswami, S. Patra, G. B. Mund, Jeet Chakraborty, Rabindra Kumar Barik
{"title":"考虑用户不耐烦行为的雾系统性能分析","authors":"Pratyusa Mukherjee, V. Goswami, S. Patra, G. B. Mund, Jeet Chakraborty, Rabindra Kumar Barik","doi":"10.1109/CONECCT55679.2022.9865809","DOIUrl":null,"url":null,"abstract":"The Industrial Internet of Things (IIoT) is rapidly expanding. The social media, wireless communication and digitization technology growing rapidly and creating a large amount of data. For handling and processing, the large amount of data storage fog computing is an emerging solution which assist the cloud computing. Fog Computing improves the QoS provided to users with the help of cloud computing, by giving service to the IoT devices at their nearby proximity.The fog nodes' virtual machines (VMs) are in charge of processing and analysing IoT applications in real time.. One of the unsolved research issues is scaling the fog system efficiently to limit the customer requests reneging from the system.. The fog nodes are assumed to be a finite queue-dependent multi-server system in which tasks share the VMs.This paper evaluates the performance of the fog system by considering a multi-server queueing system with balking and reneging policies.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of fog System with user’s impatient behaviour\",\"authors\":\"Pratyusa Mukherjee, V. Goswami, S. Patra, G. B. Mund, Jeet Chakraborty, Rabindra Kumar Barik\",\"doi\":\"10.1109/CONECCT55679.2022.9865809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Industrial Internet of Things (IIoT) is rapidly expanding. The social media, wireless communication and digitization technology growing rapidly and creating a large amount of data. For handling and processing, the large amount of data storage fog computing is an emerging solution which assist the cloud computing. Fog Computing improves the QoS provided to users with the help of cloud computing, by giving service to the IoT devices at their nearby proximity.The fog nodes' virtual machines (VMs) are in charge of processing and analysing IoT applications in real time.. One of the unsolved research issues is scaling the fog system efficiently to limit the customer requests reneging from the system.. The fog nodes are assumed to be a finite queue-dependent multi-server system in which tasks share the VMs.This paper evaluates the performance of the fog system by considering a multi-server queueing system with balking and reneging policies.\",\"PeriodicalId\":380005,\"journal\":{\"name\":\"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONECCT55679.2022.9865809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONECCT55679.2022.9865809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

工业物联网(IIoT)正在迅速发展。社交媒体、无线通信和数字化技术发展迅速,产生了大量的数据。对于处理和处理海量数据的存储,雾计算是一种辅助云计算的新兴解决方案。雾计算在云计算的帮助下,通过向附近的物联网设备提供服务,提高了为用户提供的QoS。雾节点的虚拟机(vm)负责实时处理和分析物联网应用。一个尚未解决的研究问题是如何有效地扩展雾系统,以限制客户对系统的请求违背。雾节点被假设为一个有限队列依赖的多服务器系统,其中任务共享虚拟机。本文通过考虑一个具有拒绝和违背策略的多服务器排队系统来评估雾系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Performance Analysis of fog System with user’s impatient behaviour
The Industrial Internet of Things (IIoT) is rapidly expanding. The social media, wireless communication and digitization technology growing rapidly and creating a large amount of data. For handling and processing, the large amount of data storage fog computing is an emerging solution which assist the cloud computing. Fog Computing improves the QoS provided to users with the help of cloud computing, by giving service to the IoT devices at their nearby proximity.The fog nodes' virtual machines (VMs) are in charge of processing and analysing IoT applications in real time.. One of the unsolved research issues is scaling the fog system efficiently to limit the customer requests reneging from the system.. The fog nodes are assumed to be a finite queue-dependent multi-server system in which tasks share the VMs.This paper evaluates the performance of the fog system by considering a multi-server queueing system with balking and reneging policies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Signal Integrity Issues in FPGA based multi-motor microstepping Drives Organ Bank Based on Blockchain A Novel Deep Architecture for Multi-Task Crowd Analysis Convolutional Neural Network-based ECG Classification on PYNQ-Z2 Framework Improved Electric Vehicle Digital Twin Performance Incorporating Detailed Lithium-ion Battery Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1