5G网络中云与雾计算服务质量评估

Stojan Kitanov, B. Popovski, T. Janevski
{"title":"5G网络中云与雾计算服务质量评估","authors":"Stojan Kitanov, B. Popovski, T. Janevski","doi":"10.4018/978-1-5225-6023-4.CH001","DOIUrl":null,"url":null,"abstract":"Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.","PeriodicalId":298363,"journal":{"name":"Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Quality Evaluation of Cloud and Fog Computing Services in 5G Networks\",\"authors\":\"Stojan Kitanov, B. Popovski, T. Janevski\",\"doi\":\"10.4018/978-1-5225-6023-4.CH001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.\",\"PeriodicalId\":298363,\"journal\":{\"name\":\"Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-5225-6023-4.CH001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-6023-4.CH001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

由于5G网络对计算和智能组网需求的增加,云计算本身面临着太多的限制,例如对低延迟、高移动性、高可扩展性和实时执行的要求。为了解决这些问题,出现了一种叫做雾计算的新范式。雾计算将计算、数据处理和网络服务分发到网络的边缘,更接近最终用户。雾在5G中的应用显著提高了网络的频谱和能效性能,实现了设备对设备的直接无线通信,支持网络功能虚拟化和网络控制智能与无线网络硬件分离的发展趋势。本章对5G网络中云雾计算的服务质量进行了评估,并根据业务需求提出了5种算法来优化5G RAN的选择。结果表明,雾计算是一种适合5G网络的技术解决方案。
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
Quality Evaluation of Cloud and Fog Computing Services in 5G Networks
Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.
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
Guaranteeing User Rates With Reinforcement Learning in 5G Radio Access Networks 5G IoT Industry Verticals and Network Requirements Caching Resource Sharing for Network Slicing in 5G Core Network Key Microwave and Millimeter Wave Technologies for 5G Radio Additive Manufacturing of Steerable Antenna Systems for 5G and Adaptive Cruise Control Applications
×
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