The Role of Fog Device Density in IoT-Fog-Cloud Systems

Asma Almulifi , Heba Kurdi
{"title":"The Role of Fog Device Density in IoT-Fog-Cloud Systems","authors":"Asma Almulifi ,&nbsp;Heba Kurdi","doi":"10.1016/j.procs.2024.08.033","DOIUrl":null,"url":null,"abstract":"<div><p>Fog computing has emerged as an essential technology for enabling real-time, low-latency responses in cloud-based applications within Internet of Things (IoT) systems. This study explored the impact of the number of fog devices (NFDs) on the performance of IoT-fog-cloud systems. Through comparative analysis, two scheduling algorithms—First Come First Serve (FCFS) and Priority—were evaluated across different scales of system deployment. The results indicated that the FCFS algorithm was optimal for systems with fewer NFDs, whereas the Priority algorithm proved advantageous in larger settings. These findings not only establish guidelines for selecting appropriate scheduling strategies based on the scale of fog device deployment but also provide strategic insights for businesses on the optimal distribution of computational resources. This research aids companies in deciding whether to centralize resources in fewer branches with more employees or to decentralize into more branches with fewer employees, thereby optimizing operational efficiency and responsiveness.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 242-247"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017447/pdf?md5=fe9721b7b723ecf8629422653401b8be&pid=1-s2.0-S1877050924017447-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050924017447","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

Fog computing has emerged as an essential technology for enabling real-time, low-latency responses in cloud-based applications within Internet of Things (IoT) systems. This study explored the impact of the number of fog devices (NFDs) on the performance of IoT-fog-cloud systems. Through comparative analysis, two scheduling algorithms—First Come First Serve (FCFS) and Priority—were evaluated across different scales of system deployment. The results indicated that the FCFS algorithm was optimal for systems with fewer NFDs, whereas the Priority algorithm proved advantageous in larger settings. These findings not only establish guidelines for selecting appropriate scheduling strategies based on the scale of fog device deployment but also provide strategic insights for businesses on the optimal distribution of computational resources. This research aids companies in deciding whether to centralize resources in fewer branches with more employees or to decentralize into more branches with fewer employees, thereby optimizing operational efficiency and responsiveness.

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
物联网-雾-云系统中雾设备密度的作用
雾计算已成为物联网(IoT)系统中基于云的应用实现实时、低延迟响应的重要技术。本研究探讨了雾设备(NFD)数量对物联网-雾-云系统性能的影响。通过比较分析,在不同规模的系统部署中评估了两种调度算法--先来先服务(FCFS)和优先级。结果表明,FCFS 算法是 NFD 数量较少的系统的最佳算法,而优先级算法则在较大的环境中具有优势。这些研究结果不仅为根据雾设备部署规模选择合适的调度策略提供了指导,还为企业优化计算资源分配提供了战略启示。这项研究有助于企业决定是将资源集中到员工较多的较少分支机构,还是分散到员工较少的较多分支机构,从而优化运营效率和响应能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.50
自引率
0.00%
发文量
0
期刊最新文献
Circular Supply Chains and Industry 4.0: An Analysis of Interfaces in Brazilian Foodtechs Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0 Preface Preface Contents
×
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