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Dynamic Resource Discovery and Management for Edge Computing Based on SPF for HADR Operations

机译:基于SPF的HADR边缘计算的动态资源发现和管理

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The Smart City concept tries to inherit the advantages of Internet-of-Things (IoT) into its realm to function alongside the existing legacy systems. One of the most promising aspects of IoT is Edge Computing, which tries to move the computing, traditionally done via a centralized infrastructure like the cloud to the edge of the network. This allows remote deployment of IoT assets closer to the source and application area of information enabling faster response times of action. Smart Cities of future envision using Edge Computing to their advantage for remote and distributed computing. Sieve, Process and Forward (SPF) is an Edge Computing solution for dynamic IoT applications for Smart City scenarios. The military is looking forward to use, as well as develop the SPF platform for its Edge Computing requirements. But currently, the SPF platform does not have the mechanism for remote discovery of edge resources and their management to leverage its potential completely. This paper tries to propose a resource discovery and management architecture and methodology for SPF to support future Human Assistance and Disaster Recovery (HADR) operations in Smart City environments with the vision of enabling interoperability between civilian and military platforms.
机译:智慧城市的概念试图将物联网(IoT)的优势继承到其领域中,以与现有遗留系统一起运行。物联网最有前途的方面之一是边缘计算,它试图将计算(通常是通过诸如云之类的集中式基础架构迁移到网络边缘)进行。这允许将IoT资产远程部署到信息的源和应用程序区域附近,从而加快响​​应时间。未来的智慧城市将利用边缘计算来实现远程和分布式计算的优势。筛选,处理和转发(SPF)是针对智能城市场景中动态物联网应用的边缘计算解决方案。军方期待使用它,并为满足其边缘计算要求而开发SPF平台。但是目前,SPF平台尚不具备远程发现边缘资源及其管理的机制,无法完全利用其潜力。本文试图提出一种SPF的资源发现和管理架构以及方法论,以支持民用和军事平台之间的互操作性,以支持未来智慧城市环境中的人类援助和灾难恢复(HADR)操作。

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