DistressNet-NG:网络物理系统中移动边缘计算的弹性数据存储和共享框架

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2024-01-03 DOI:10.1145/3639057
M.F.H. Sagor, Amran Haroon, R. Stoleru, S. Bhunia, A. Altaweel, M. Chao, Liuyi Jin, M. Maurice, R. Blalock
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引用次数: 0

摘要

移动边缘计算(MEC)在用于灾难响应和战术应用的网络物理系统(CPS)中的应用越来越受到关注。这些 CPS 会产生大量关键任务数据和个人数据,需要弹性、安全的存储和共享。在本文中,我们介绍了针对上述应用的 CPS 中 MEC 弹性数据存储和共享框架的设计、实施和评估。我们的框架建立在三个主要组件的弹性之上:EdgeKeeper确保框架各组件的弹性协调;RSock提供CPS节点间的弹性通信;R-Drive/R-Share利用EdgeKeeper和RSock提供弹性数据存储和共享。EdgeKeeper 采用一组副本和共识协议来存储关键元数据,并确保 CPS 的快速重组;RSock 决定通过有损链路通信的数据的最佳复制度。R-Drive 采用自适应擦除编码和加密弹性数据存储;R-Share 利用 RSock 提供弹性点对点数据共享。我们在快速部署系统(如 manpacks、testMobile Edge Clouds)和安卓设备上实施了我们提出的框架,并将其与现有的 MEC 应用程序集成。三个实际部署的性能评估结果表明,我们的框架为 CPS 的 MEC 提供了弹性数据存储和共享。
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DistressNet-NG: A Resilient Data Storage and Sharing Framework for Mobile Edge Computing in Cyber-Physical Systems
Mobile Edge Computing (MEC) has been gaining a major interest for use in Cyber-Physical Systems (CPS) for Disaster Response and Tactical applications. These CPS generate a very large amount of mission-critical and personal data that require resilient and secure storage and sharing. In this article, we present the design, implementation, and evaluation of a framework for resilient data storage and sharing for MEC in CPS targeting the aforementioned applications. Our framework is built on the resiliency of three main components: EdgeKeeper, which ensures resilient coordination of the framework’s components; RSock, which provides resilient communication among CPS’s nodes; and R-Drive/R-Share which, leveraging EdgeKeeper and RSock, provides resilient data storage and sharing. EdgeKeeper employs a set of replicas and a consensus protocol for storing critical meta-data and ensuring fast reorganization of the CPS; RSock decides an optimal degree for replicating data that is communicated over lossy links. R-Drive employs an adaptive erasure-coded and encrypted resilient data storage; R-Share, leveraging RSock provides resilient peer-to-peer data sharing. We implemented our proposed framework on rapidly deployable systems (e.g. manpacks, testMobile Edge Clouds) and on Android devices, and integrated it with existing MEC applications. Performance evaluation results from three real-world deployments show that our framework provides resilient data storage and sharing in MEC for CPS.
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来源期刊
ACM Transactions on Cyber-Physical Systems
ACM Transactions on Cyber-Physical Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.70
自引率
4.30%
发文量
40
期刊最新文献
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