Implementing smart traffic flow balancing solutions for 5G ultra-dense networks

实施5G超密集网络智能流量均衡解决方案

• 批准号: 520590-2017
• 负责人: Kaddoum, Georges
• 金额: $ 1.82万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639557
• 关键词: Implementing; smart; traffic; flow; balancing

With the exponential growth of massive connectivity especially with the arrival of new players such as internetof things (IoT) as it is one of the most important challenges in 5G networks, Kontron wants to test andoptimize the capacity of its actual platforms to make them more suited for the next mobile generation. In thisvein, the purpose of this project is to implement new smart solutions to analyze the network's trafficperformance (i,e bottleneck) and optimize its resources in Fog radio access network (F-RAN) environment.Our aim is to allocate computing recourses to run different processes between different fog nodes per switch,which optimizes the configuration of the architecture and balance the traffic aiming to reduce the use of thenetwork offloading.

随着大规模连接的指数增长，特别是物联网（IoT）等新参与者的到来，因为它是5G网络中最重要的挑战之一，Kontron希望测试和优化其实际平台的容量，使其更适合下一代移动的。因此，该项目的目的是在Fog无线接入网（F-RAN）环境中实施新的智能解决方案来分析网络的流量性能（即瓶颈）并优化其资源。我们的目标是分配计算资源以在每个交换机的不同雾节点之间运行不同的进程，从而优化架构配置并平衡流量，旨在减少网络卸载的使用。