基于雾的物联网系统的服务布局、供应和组成调查

Thiruchadai Pandeeswari Sadatacharapandi, P. S.
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引用次数: 2

摘要

在现代物联网时代,时间和资源关键型应用更加普遍。虽然云计算可以快速处理数据并产生结果,但时间和网络开销是巨大的。基于雾的解决方案已经被证明可以消除这种开销。然而,为物联网应用程序建立可扩展的基于雾的架构涉及许多挑战,例如保证QoS,降低运营成本等。因此,一个可行的基于雾的体系结构必须包括最优的服务布局,通过适当的方案来促进资源估计和保留、QoS监控、数据交换和集成。本文综述了文献中提出的各种服务布局和优化方法,并对它们进行了比较。本文还探讨了组成一个可行的基于雾的体系结构所需的各种组件,并提出了一个具有代表性的雾供应框架。讨论了现代技术和工具(如RESTful架构、SDN、Kafka、RabbitMQ、Zookeeper)在为基于雾的物联网应用建立高效框架中的相关性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on Service Placement, Provisioning, and Composition for Fog-Based IoT Systems
In the modern IoT era, time and resource critical applications are more prevalent. Though cloud computing enables fast processing of data and producing results, the time and network overhead are huge. Fog based solutions have proved to eliminate this overhead. However, establishing a scalable fog based architecture for IoT applications involves a number of challenges such as guaranteeing QoS, reducing operational costs etc. Hence a viable fog based architecture must involve optimal service placement facilitated by suitable schemes for resource estimation and reservation, QoS monitoring, data interchange and integration. This paper surveys various service placement and optimization approaches proposed in the literature and compares them. This paper also explores various components that are required for composing a viable fog based architecture and presents a representative fog provisioning framework. Relevance of modern technologies and tools such as RESTful architecture, SDN, Kafka, RabbitMQ, Zookeeper in establishing an efficient framework for fog based IoT applications is discussed
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