探索5G和下一代虚拟化网络中基于云的动态服务质量切片的潜力:基于仿真的研究

Poovendren Govender, Kingsley A. Ogudo, Chabalala Chabalala
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引用次数: 0

摘要

在2019冠状病毒病大流行期间,全球移动流量每18个月翻一番,数字平台上的独立数据用户大幅增加,全球对高速连接的需求每秒都在增加。2019冠状病毒病大流行改变了全球劳动力,采用了远程工作安排和新平台,从而增加了对各地可靠、高质量、无处不在的高速数据连接的需求。第五代(5G)移动通信技术提供了一个有效的解决方案,使网络基础设施现代化,有效地为大规模数据增长和超低延迟提供可靠的高带宽容量,使延迟几乎无法感知。这意味着将现实进一步提升,为每个人提供光纤般的速度,无处不在。5G网络切片使服务能够拥有5G网络的专用部分,并保证其特定需求的性能。这些虚拟网络允许在工业规模上提供物联网等服务,使社会更具可持续性并提高资源效率。本文提出了一个5G网络切片创建模型,该模型满足行业垂直服务QoS需求,这对服务采用至关重要。利用软件仿真来指导模型的设计和评估。仿真结果表明,在不同的网络条件下,所审查的业务需求都能满足QoS保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the potential of dynamic quality of service cloud-based network slicing in 5G and next generation virtualized networks: A simulation-based study
With global mobile traffic doubling every 18 months along with the massive increase in unique data users across digital platforms during the Covid-19 pandemic, the world's demand for high-speed connectivity continues to increase every second. The Covid-19 pandemic has transformed the global workforce with remote working arrangements, embracing new platforms, subsequently increasing the requirement for reliable, quality, ubiquitous high speed data connectedness everywhere. 5th Generation (5G) mobile communication technology provides an effective solution, modernizing network infrastructure, efficiently providing reliable high bandwidth capacity for massive data growth and ultra-low latency, making delays virtually impossible to perceive. This means elevating reality even further with fiber-like speeds for everyone, everywhere. 5G network slicing makes it possible for services to own dedicated portions of the 5G network with guaranteed performance for their particular need. These virtual networks allow for a service like IoT, at industrial scale, making society more sustainable and increasing resource efficiency. Our paper proposes a model for 5G network slice creation that meets industry verticals service QoS requirements which are critical to service adoption. A software emulation is utilized to guide the design and evaluation of our proposed model. Simulated results show QoS guarantees are met for the reviewed service requirements in varying network conditions.
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