摘要
物联网环境下,终端设备被大量部署在物理空间中,促进了大量、多样、异构数据的快速生成。终端设备的计算能力有限,不能满足大规模数据的计算需求。云计算依赖高速的数据传输网络,对时延敏感的应用适应性较弱。对于数据上云,部分客户对数据安全性存在担忧。传统的算力资源部署模式存在一定局限性。从物联网环境对算力资源的需求出发,探讨物联网环境中的资源部署问题,提出物联网环境下边缘计算的算力资源协调部署模型及关注要素,为相关研究提供参考。
In the Internet of Things environment,terminal devices are widely deployed in physical space,which promotes the rapid generation of large,diverse and heterogeneous data.The computing capacity of terminal equipment is limited,which can not meet the computing needs of large-scale data.Cloud computing relies on high-speed data transmission network,and has weak adaptability to delay-sensitive applications.For data upload to the cloud,some customers have concerns about data security.The traditional computing resource deployment model has certain limitations.Based on the demand of computing resources in the Internet of Things environment,this paper discusses the resource deployment problem in the Internet of Things environment,proposes the coordinated deployment model of computing resources in the Internet of Things environment and the factors of concern,hoping to provide reference for related research.
作者
王永江
孙文静
张凌
吕宪强
熊浩
WANG Yongjiang;SUN Wenjing;ZHANG Ling;LYU Xianqiang;XIONG Hao(Dianchi College,Kunming 650228,China;Kunming University of Science and Technology Oxbridge College,Kunming 650101,China)
出处
《智能物联技术》
2024年第5期149-152,共4页
Technology of Io T& AI
关键词
物联网
边缘计算
资源部署
Internet of Things
edge computing
resource deployment