优化当前和新兴边缘基础设施的微架构性能

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2023-11-17 DOI:10.1109/TCC.2023.3333813
Jianda Wang;Zhen Wang;Weili Wu;Yang Hu
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引用次数: 0

摘要

网络功能虚拟化(NFV)是为应对下一代移动系统的各种灵活性特征而提出的基本技术。在本文中,我们对支持 NFV 的边缘虚拟无线接入网(vRAN)和新兴的 5G 新无线电(nr)平台进行了深入的微架构性能研究,以揭示下一代网络 vRAN 系统的主要微架构瓶颈。根据实验结果,我们发现高内核束缚阻碍了 vRAN 和 5G nr 平台的处理速度。为了加快 vRAN 系统的处理速度,我们提出了几种缓解 vRAN 核心约束的解决方案。此外,我们还发现,当前的共址策略无法最大限度地提高 COTS 服务器的 CPU 利用率,同时消除 CPU 资源争用导致的系统挂起。我们根据观察到的 vRAN 共定位特征,提出了优化的共定位策略,填补了这一空白。最后,我们发现,在支持超线程的现代 COTS 服务器上,当前 5G nr 的针核策略会造成 L3 缓存争用,从而导致严重的系统挂起。我们提出了一种新颖的线程管理机制,以消除支持超线程的 COTS 服务器上的系统挂起现象。
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Optimizing the Micro-Architectural Performance of the Current and Emerging Edge Infrastructure
The Network Function Virtualization (NFV) is the essential technology proposed to tackle the next-generation mobile system’s various flexibility features. In this article, we implement a thorough micro-architectural performance investigation on the NFV-enabled edge virtual Radio Access Network (vRAN) and the emerging 5G new-radio (nr) platform to unveil the main micro-architectural bottlenecks of the next-generation network’s vRAN system. Based on our experimental results, we find that the high core bound hinders the processing speed of the vRAN and 5G nr platforms. Several solutions alleviating the vRAN’s core bound are proposed to accelerate the vRAN system’s processing speed. Besides, we observe that the current co-location strategy cannot maximize the COTS servers’ CPU utilization and meanwhile eliminate the system hang-up caused by CPU resource contention. We fill this gap by proposing an optimized co-location strategy based on our observed vRAN co-location characterization. Finally, we detect that on the modern hyper-threading-enabled COTS servers, the current pin core policy of 5G nr will cause L3 cache contention, which will lead to severe system hang-up. A novel threads management mechanism is proposed to eliminate this system hang-up on the hyper-threading-enabled COTS servers.
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
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