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作 者:陈俐妍 CHEN Liyan(Fujian Agricultural Vocational and Technical College,Fuzhou 350007,China)
出 处:《焦作大学学报》2022年第2期94-98,共5页Journal of Jiaozuo University
基 金:福建省中青年教师教育科研项目(JAT210786)。
摘 要:针对5G超密集网络在受理接入移动业务计算时存在时延代价过高而引发的服务质量(Quality of Service,QoS)问题,提出一种时效目标约束下的5G移动计算业务响应方案。该方案在充分考虑执行移动业务计算期间信道增益、噪声、节点间距等外界环境因素对业务执行成本影响的基础上,评估了5G全网节点计算开销的响应能力。然后,通过建立时效约束模型来制定移动业务分割比例的方案。同时引入竞争机制,实时更新分割方案,确保分割比例的科学性。经过测试和对比,验证了该技术部署在5G大规模移动接入场景中受理移动业务计算时具有良好的时效性和普适性。Aiming at the Quality of Service(QoS) problem caused by the excessive delay cost when 5G ultra-dense network accepts access to mobile service computing, a 5G mobile computing service response scheme under the constraint of time-limitation target is proposed. This scheme evaluates the responsiveness of the 5G network-wide node computing overhead on the basis of fully considering the impact of external environmental factors such as channel gain,noise, and node spacing on the service execution cost during the execution of mobile service calculations. Then, the plan of mobile service division ratio is formulated by establishing an aging constraint model. At the same time, a competitive mechanism is introduced to update the segmentation scheme in real time to ensure the scientificity of the segmentation ratio. After testing and comparison, it is verified that this technology has good timeliness and universality when it is deployed in the 5G large-scale mobile access scenario to accept mobile business computing.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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