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作 者:Youbang Guan Bong Jun Choi
机构地区:[1]Department of Advanced Research and Development,Qingdao,China [2]Department of Engineering,University of Leicester,Leicester,England [3]School of Computer Science and Engineering,Soongsil University,Seoul,Korea
出 处:《Computers, Materials & Continua》2021年第8期2399-2411,共13页计算机、材料和连续体(英文)
基 金:supported by Soongsil University research funding.
摘 要:Smart home technology provides consumers with network connectivity,automation or enhanced services for home devices.With the Internet of Things era,a vast data flow makes business platforms have to own the same computing power to match their business services.It achieves computing power through implementing big data algorithms deployed in the cloud data center.However,because of the far long geographical distance between the client and the data center or the massive data capacity gap,potentially high latency and high packet loss will reduce the usability of smart home systems if service providers deploy all services in the cloud data center.Edge computing and fog computing can significantly improve the utilization of network resources and reconstruct the network architecture for the user’s home.This article enables a fog resource-based resource allocation management technology.It provides a method that can more reasonably allocate network resources through a virtualized middle-tier method to ensure low response time and configure Quality of Service to ensure the use of delay-sensitive critical applications to improve the reliability of smart home communication system.Besides,the proposed method has is tested and verified by adjusting the variables of the network environment.We realize the optimization of resource allocation of client network without changing the hardware of client.
关 键 词:Topology network smart home tree resource allocation internet of things
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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