A Burgeoning 6G Technology and its Cloud Services

Kamurthi Ravi Teja, Shakti Raj Chopra, Rahul Sharma
{"title":"A Burgeoning 6G Technology and its Cloud Services","authors":"Kamurthi Ravi Teja, Shakti Raj Chopra, Rahul Sharma","doi":"10.1109/ESCI53509.2022.9758236","DOIUrl":null,"url":null,"abstract":"This paper discusses the unprecedented sixth-generation (6G) technology and the issues of future Cloud services. Malware attacks are perpetuated in the wireless network world and have been encountered for two decades. So, we authors pointed out those attacks and presented them inside the paper. We also built the mathematical three compartmental modelling framework (MTCMF) to calculate the maximum number of Infectious devices and servers of the computing systems. Nevertheless, future cloud services will face some issues on storage, security, and energy consumption. So, we proposed solutions to fix those issues. And to reduce the long-distance communication, a standard decentralized cloud service setup is needed to offer services to the nearest networked areas. This implies to deploy Edge Cloud Data Centers (ECDC). The Main cloud center and ECDC are always in sync and intertwined with each other. So, we presented the future cloud set-up ideology too. To make this setup possible, we proposed the best QAM modulation technique in this paper. By 2030, all sectors like hospitals, industries, education, cities, homes, Internet of Things (loT) devices, and beyond, will be connected to the 6G cloud services. Meaning, the entire world will be cloudified in the future.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI53509.2022.9758236","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

This paper discusses the unprecedented sixth-generation (6G) technology and the issues of future Cloud services. Malware attacks are perpetuated in the wireless network world and have been encountered for two decades. So, we authors pointed out those attacks and presented them inside the paper. We also built the mathematical three compartmental modelling framework (MTCMF) to calculate the maximum number of Infectious devices and servers of the computing systems. Nevertheless, future cloud services will face some issues on storage, security, and energy consumption. So, we proposed solutions to fix those issues. And to reduce the long-distance communication, a standard decentralized cloud service setup is needed to offer services to the nearest networked areas. This implies to deploy Edge Cloud Data Centers (ECDC). The Main cloud center and ECDC are always in sync and intertwined with each other. So, we presented the future cloud set-up ideology too. To make this setup possible, we proposed the best QAM modulation technique in this paper. By 2030, all sectors like hospitals, industries, education, cities, homes, Internet of Things (loT) devices, and beyond, will be connected to the 6G cloud services. Meaning, the entire world will be cloudified in the future.
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
蓬勃发展的6G技术及其云服务
本文讨论了前所未有的第六代(6G)技术和未来云服务的问题。恶意软件攻击在无线网络世界中一直存在,并且已经遇到了二十年。因此,我们的作者指出了这些攻击,并在论文中提出了它们。我们还建立了数学三分区建模框架(MTCMF)来计算计算系统中感染设备和服务器的最大数量。然而,未来的云服务将面临存储、安全、能耗等方面的问题。因此,我们提出了解决这些问题的方案。为了减少长距离通信,需要一个标准的分散式云服务设置来为最近的网络区域提供服务。这意味着部署边缘云数据中心(ECDC)。主云中心和ECDC始终保持同步并相互交织。因此,我们也提出了未来的云设置思想。为了使这种设置成为可能,我们在本文中提出了最佳的QAM调制技术。到2030年,医院、工业、教育、城市、家庭、物联网(loT)设备等所有领域都将连接到6G云服务。也就是说,未来整个世界都将被乌云笼罩。
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
自引率
0.00%
发文量
0
期刊最新文献
Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks A Modified Multiband Antenna for 5G Communication Deep Learning-Based Comparative Study to Detect Polyp Removal in Endoscopic Images A Multiple Stage Deep Learning Model for NID in MANETs Automated Diagnosis of Pneumonia through Capsule Network in conjunction with ResNet50v2 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