• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

雾计算中用于医疗保健应用的可信强制计算卸载

Trust Enforced Computational Offloading for Health Care Applications in Fog Computing.

作者信息

Meena V, Gorripatti Meghana, Suriya Praba T

机构信息

School of Computing, SASTRA Deemed University, Thirumalaisamudram, Thanjavur, 613401 India.

出版信息

Wirel Pers Commun. 2021;119(2):1369-1386. doi: 10.1007/s11277-021-08285-7. Epub 2021 Apr 6.

DOI:10.1007/s11277-021-08285-7
PMID:33840908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8022126/
Abstract

Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user's proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications.

摘要

物联网(IoT)是一个由联网设备组成的网络,每天都会产生大量数据。诸如智能可穿戴设备、智能手机、智慧城市等物联网设备的使用正在呈线性增长。医疗保健是当今使用物联网设备的主要应用之一。此应用中生成的数据可能需要进行计算、存储和数据分析操作,这需要一个资源丰富的环境来进行远程患者健康监测。与医疗保健应用相关的数据主要是私密的,并且应该对用户随时可用。在云环境中强制执行这两个约束是一项艰巨的任务。雾计算是一种新兴的架构,用于在用户附近提供计算、存储、控制和网络服务。为了处理私密数据,处理元素在雾环境中应该是可信赖的实体。在本文中,我们提出了一种新颖的使用雾计算进行可信应用的可信强制计算负载技术(TEFLON)。所提出的系统包括两种算法,即最优服务卸载器和信任评估,用于以减少响应时间的方式解决安全和信任问题。并且仿真结果表明,所提出的TEFLON框架提高了雾协作的成功率,减少了对延迟敏感应用的平均延迟,并确保了对可信应用的信任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/a43abf40ef40/11277_2021_8285_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/4fd44df2bb83/11277_2021_8285_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/46e6740cf6db/11277_2021_8285_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/c957260adcc3/11277_2021_8285_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/3881ccb11254/11277_2021_8285_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/b810441d5923/11277_2021_8285_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/1d98333e1955/11277_2021_8285_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/a43abf40ef40/11277_2021_8285_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/4fd44df2bb83/11277_2021_8285_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/46e6740cf6db/11277_2021_8285_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/c957260adcc3/11277_2021_8285_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/3881ccb11254/11277_2021_8285_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/b810441d5923/11277_2021_8285_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/1d98333e1955/11277_2021_8285_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf8e/8022126/a43abf40ef40/11277_2021_8285_Fig7_HTML.jpg

相似文献

1
Trust Enforced Computational Offloading for Health Care Applications in Fog Computing.雾计算中用于医疗保健应用的可信强制计算卸载
Wirel Pers Commun. 2021;119(2):1369-1386. doi: 10.1007/s11277-021-08285-7. Epub 2021 Apr 6.
2
Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system.支持物联网的智能家居系统动态卸载中的混合计算框架安全
PeerJ Comput Sci. 2024 Aug 23;10:e2211. doi: 10.7717/peerj-cs.2211. eCollection 2024.
3
A Multi-Classifiers Based Algorithm for Energy Efficient Tasks Offloading in Fog Computing.一种基于多分类器的雾计算中节能任务卸载算法。
Sensors (Basel). 2023 Aug 16;23(16):7209. doi: 10.3390/s23167209.
4
An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression.基于物流回归的雾-云协作任务卸载智能建议模型。
Comput Intell Neurosci. 2022 Jan 25;2022:3606068. doi: 10.1155/2022/3606068. eCollection 2022.
5
Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay.通过雾-雾-云协作进行在线工作负载分配以减少物联网任务服务延迟
Sensors (Basel). 2019 Sep 4;19(18):3830. doi: 10.3390/s19183830.
6
Multi-Objective Task-Aware Offloading and Scheduling Framework for Internet of Things Logistics.面向物联网物流的多目标任务感知卸载与调度框架
Sensors (Basel). 2024 Apr 9;24(8):2381. doi: 10.3390/s24082381.
7
Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.基于雾计算的远程疼痛监测在电子医疗保健中的应用:一种高效架构。
Sensors (Basel). 2020 Nov 18;20(22):6574. doi: 10.3390/s20226574.
8
Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit.基于雾计算的智能心血管疾病预测系统:由改进门控循环单元驱动
Diagnostics (Basel). 2023 Jun 15;13(12):2071. doi: 10.3390/diagnostics13122071.
9
Towards effective offloading mechanisms in fog computing.面向雾计算中的有效卸载机制
Multimed Tools Appl. 2022;81(2):1997-2042. doi: 10.1007/s11042-021-11423-9. Epub 2021 Oct 19.
10
Secure Computing for Fog-Enabled Industrial IoT.面向支持雾计算的工业物联网的安全计算
Sensors (Basel). 2024 Mar 25;24(7):2098. doi: 10.3390/s24072098.

引用本文的文献

1
An adaptive data-driven architecture for mental health care applications.一种用于心理健康护理应用的自适应数据驱动架构。
PeerJ. 2024 Mar 29;12:e17133. doi: 10.7717/peerj.17133. eCollection 2024.
2
Modeling of a Generic Edge Computing Application Design.通用边缘计算应用设计建模。
Sensors (Basel). 2021 Nov 1;21(21):7276. doi: 10.3390/s21217276.