雾计算Qos回顾和开放挑战

R. Babu, J. Kanniappan, R. Abirami
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引用次数: 11

摘要

物联网(IoT)实现了设备和平台之间的互联互通。物联网设备(如传感器或嵌入式系统)提供计算、存储和网络资源,这些资源的存在允许将物联网应用程序的执行移动到网络边缘,这被称为雾计算。它能够处理数十亿台联网设备,处于实时大数据分析的有利位置,并在广告和个人计算方面具有优势。雾计算中的主要问题包括雾网络、QoS、接口和编程模型、计算卸载、会计、计费和监控、供应和资源管理、安全和隐私。一个特殊的研究挑战是雾服务的服务质量度量。因此,本文对云计算进行了概述,讨论了雾计算的QoS指标和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fog Computing Qos Review and Open Challenges
Internet of Things (IoT) enables inters connectivity among devices and platforms. IoT devices such as sensors, or embedded systems offer computational, storage, and networking resources and the existence of these resources permits to move the execution of IoT applications to the edge of the network and it is known as fog computing. It is able to handle billions of Internet-connected devices and is well situated for real-time big data analytics and provides advantages in advertising and personal computing. The main issues in fog computing includes fog networking, QoS, interfacing and programming model, computation offloading, accounting, billing and monitoring, provisioning and resource management, security and privacy. A particular research challenge is the Quality of Service metric for fog services. Thus, this paper gives a survey of cloud computing, discusses the QoS metrics, and the future research directions in fog computing.
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