在Linux内核中评估云-RAN:共享计算和网络资源
Andres F Ocampo1,2, Mah-Rukh Fida3, Ahmed Elmokashfi4
1SimulaMet-Simula Metropolitan Center for Digital Engineering, 0167 Oslo, Norway.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
云-RAN性能随着CPU亲和度的提高而提高. 这一策略将吞吐量变化率降低40%,降低NACK比率,并将边缘计算中虚拟基带单元 (vBBU) 的调度延迟降至最低.
科学领域:
- 计算机网络 计算机网络.
- 电信工程 电信工程 电信工程
- 边缘计算 边缘计算
背景情况:
- 基于云的无线电接入网络 (Cloud-RAN) 利用虚拟化实现经济和运营效率.
- 在边缘计算机上同时放置多个虚拟基带单元 (vBBU) 可能会导致由于资源限制而导致性能降低.
研究的目的:
- 在LinuxRT-Kernel上实证分析vBBU的性能.
- 调查资源共享对vBBU绩效的影响.
- 评估CPU管理策略,特别是CPU亲和和隔离,作为性能挑战的解决方案.
主要方法:
- 在LinuxRT-Kernel上对vBBU性能进行实证分析.
- 评估CPU亲和力和CPU隔离技术.
- 通过量变量的测量,NACK比率和调度延迟.
主要成果:
- CPU亲和力显著降低了吞吐量变化率高达40%.
- 由于CPU的亲和力导致vBBU的NACK比率下降,并减少了vBBU调度延迟.
- 与用户空间任务和内核线程的资源共享会影响vBBU的性能.
结论:
- 处理器管理策略,特别是处理器亲和力,可以提高vBBU在云RAN中的性能.
- 实现CPU亲和度可以实现更高效,更稳定的网络运行.
- 这些发现证实了CPU亲和力对优化云-RAN部署的实用性和有效性.
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