Living on the edge: A survey of Digital Twin-Assisted Task Offloading in safety-critical environments

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Journal of Network and Computer Applications Pub Date : 2024-09-11 DOI:10.1016/j.jnca.2024.104024
Pedro R.X. do Carmo , Diego de Freitas Bezerra , Assis T. Oliveira Filho , Eduardo Freitas , Miguel L.P.C. Silva , Marrone Dantas , Beatriz Oliveira , Judith Kelner , Djamel F.H. Sadok , Ricardo Souza
{"title":"Living on the edge: A survey of Digital Twin-Assisted Task Offloading in safety-critical environments","authors":"Pedro R.X. do Carmo ,&nbsp;Diego de Freitas Bezerra ,&nbsp;Assis T. Oliveira Filho ,&nbsp;Eduardo Freitas ,&nbsp;Miguel L.P.C. Silva ,&nbsp;Marrone Dantas ,&nbsp;Beatriz Oliveira ,&nbsp;Judith Kelner ,&nbsp;Djamel F.H. Sadok ,&nbsp;Ricardo Souza","doi":"10.1016/j.jnca.2024.104024","DOIUrl":null,"url":null,"abstract":"<div><p>This survey delves into the synergy between Digital Twin technology and Task Offloading within safety-critical sectors, offering a nuanced understanding of their integration, potential benefits, and associated challenges. By defining fundamental concepts and exploring real-world implementations, this study evaluates the impact of Digital Twin-Assisted Task Offloading on optimizing resource utilization in safety-critical environments. Central to our analysis is the evaluation of key performance metrics guiding task offloading strategies, notably latency, and energy consumption, which are critical for achieving real-time efficiency and sustainable operations in edge computing environments. The survey further identifies a gap in the literature concerning cybersecurity and privacy concerns, crucial elements given the vulnerability of these systems to cyber threats and data breaches. It also highlights the emerging significance of 6G technology as a pivotal enabler for future advancements. This work not only serves as a valuable resource for professionals and researchers in safety-critical industries but also underscores the importance of addressing cybersecurity measures, advocating for standardized frameworks, and aligning with future technological trends to fully harness the potential of Digital Twin-Assisted Task Offloading.</p></div>","PeriodicalId":54784,"journal":{"name":"Journal of Network and Computer Applications","volume":"232 ","pages":"Article 104024"},"PeriodicalIF":7.7000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Network and Computer Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1084804524002017","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

This survey delves into the synergy between Digital Twin technology and Task Offloading within safety-critical sectors, offering a nuanced understanding of their integration, potential benefits, and associated challenges. By defining fundamental concepts and exploring real-world implementations, this study evaluates the impact of Digital Twin-Assisted Task Offloading on optimizing resource utilization in safety-critical environments. Central to our analysis is the evaluation of key performance metrics guiding task offloading strategies, notably latency, and energy consumption, which are critical for achieving real-time efficiency and sustainable operations in edge computing environments. The survey further identifies a gap in the literature concerning cybersecurity and privacy concerns, crucial elements given the vulnerability of these systems to cyber threats and data breaches. It also highlights the emerging significance of 6G technology as a pivotal enabler for future advancements. This work not only serves as a valuable resource for professionals and researchers in safety-critical industries but also underscores the importance of addressing cybersecurity measures, advocating for standardized frameworks, and aligning with future technological trends to fully harness the potential of Digital Twin-Assisted Task Offloading.

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
生活在边缘:安全关键型环境中数字双胞胎辅助任务卸载调查
本研究深入探讨了数字孪生技术和任务卸载在安全关键领域的协同作用,对两者的集成、潜在优势和相关挑战进行了细致的了解。通过定义基本概念和探索现实世界的实施情况,本研究评估了数字孪生辅助任务卸载对优化安全关键环境中资源利用率的影响。我们分析的核心是评估指导任务卸载策略的关键性能指标,特别是延迟和能耗,这对于在边缘计算环境中实现实时效率和可持续运营至关重要。调查进一步发现了有关网络安全和隐私问题的文献空白,鉴于这些系统易受网络威胁和数据泄露的影响,这些问题是至关重要的。调查还强调了 6G 技术作为未来进步的关键推动力所具有的新兴意义。这项工作不仅为安全关键型行业的专业人员和研究人员提供了宝贵的资源,还强调了解决网络安全措施、倡导标准化框架以及与未来技术趋势保持一致以充分利用数字孪生辅助任务卸载潜力的重要性。
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
Journal of Network and Computer Applications
Journal of Network and Computer Applications 工程技术-计算机:跨学科应用
CiteScore
21.50
自引率
3.40%
发文量
142
审稿时长
37 days
期刊介绍: The Journal of Network and Computer Applications welcomes research contributions, surveys, and notes in all areas relating to computer networks and applications thereof. Sample topics include new design techniques, interesting or novel applications, components or standards; computer networks with tools such as WWW; emerging standards for internet protocols; Wireless networks; Mobile Computing; emerging computing models such as cloud computing, grid computing; applications of networked systems for remote collaboration and telemedicine, etc. The journal is abstracted and indexed in Scopus, Engineering Index, Web of Science, Science Citation Index Expanded and INSPEC.
期刊最新文献
On and off the manifold: Generation and Detection of adversarial attacks in IIoT networks Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection Clusters in chaos: A deep unsupervised learning paradigm for network anomaly detection Consensus hybrid ensemble machine learning for intrusion detection with explainable AI Adaptive differential privacy in asynchronous federated learning for aerial-aided edge computing
×
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