A Systematic Review on Osmotic Computing

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2022-02-15 DOI:10.1145/3488247
Benazir Neha, S. K. Panda, P. Sahu, Kshira Sagar Sahoo, A. Gandomi
{"title":"A Systematic Review on Osmotic Computing","authors":"Benazir Neha, S. K. Panda, P. Sahu, Kshira Sagar Sahoo, A. Gandomi","doi":"10.1145/3488247","DOIUrl":null,"url":null,"abstract":"Osmotic computing in association with related computing paradigms (cloud, fog, and edge) emerges as a promising solution for handling bulk of security-critical as well as latency-sensitive data generated by the digital devices. It is a growing research domain that studies deployment, migration, and optimization of applications in the form of microservices across cloud/edge infrastructure. It presents dynamically tailored microservices in technology-centric environments by exploiting edge and cloud platforms. Osmotic computing promotes digital transformation and furnishes benefits to transportation, smart cities, education, and healthcare. In this article, we present a comprehensive analysis of osmotic computing through a systematic literature review approach. To ensure high-quality review, we conduct an advanced search on numerous digital libraries to extracting related studies. The advanced search strategy identifies 99 studies, from which 29 relevant studies are selected for a thorough review. We present a summary of applications in osmotic computing build on their key features. On the basis of the observations, we outline the research challenges for the applications in this research field. Finally, we discuss the security issues resolved and unresolved in osmotic computing.","PeriodicalId":29764,"journal":{"name":"ACM Transactions on Internet of Things","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3488247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 17

Abstract

Osmotic computing in association with related computing paradigms (cloud, fog, and edge) emerges as a promising solution for handling bulk of security-critical as well as latency-sensitive data generated by the digital devices. It is a growing research domain that studies deployment, migration, and optimization of applications in the form of microservices across cloud/edge infrastructure. It presents dynamically tailored microservices in technology-centric environments by exploiting edge and cloud platforms. Osmotic computing promotes digital transformation and furnishes benefits to transportation, smart cities, education, and healthcare. In this article, we present a comprehensive analysis of osmotic computing through a systematic literature review approach. To ensure high-quality review, we conduct an advanced search on numerous digital libraries to extracting related studies. The advanced search strategy identifies 99 studies, from which 29 relevant studies are selected for a thorough review. We present a summary of applications in osmotic computing build on their key features. On the basis of the observations, we outline the research challenges for the applications in this research field. Finally, we discuss the security issues resolved and unresolved in osmotic computing.
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
渗透计算的系统综述
与相关计算范例(云、雾和边缘)相关联的渗透计算作为处理数字设备生成的大量安全关键型和延迟敏感型数据的有前途的解决方案而出现。这是一个不断发展的研究领域,研究跨云/边缘基础设施的微服务形式的应用程序的部署、迁移和优化。它通过利用边缘和云平台,在以技术为中心的环境中提供动态定制的微服务。渗透计算促进了数字化转型,并为交通、智慧城市、教育和医疗保健带来了好处。在本文中,我们通过系统的文献回顾方法,对渗透计算进行了全面的分析。为了确保高质量的综述,我们对众多数字图书馆进行了高级检索,以提取相关研究。高级检索策略确定了99项研究,从中选择了29项相关研究进行全面审查。我们根据渗透计算的主要特点对其应用进行了总结。在观察的基础上,我们概述了该研究领域应用的研究挑战。最后,讨论了渗透计算中已解决和未解决的安全问题。
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
5.20
自引率
3.70%
发文量
0
期刊最新文献
FLAShadow: A Flash-based Shadow Stack for Low-end Embedded Systems CoSense: Deep Learning Augmented Sensing for Coexistence with Networking in Millimeter-Wave Picocells CASPER: Context-Aware IoT Anomaly Detection System for Industrial Robotic Arms Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning ARIoTEDef: Adversarially Robust IoT Early Defense System Based on Self-Evolution against Multi-step Attacks
×
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