{"title":"Optimizing the Micro-Architectural Performance of the Current and Emerging Edge Infrastructure","authors":"Jianda Wang;Zhen Wang;Weili Wu;Yang Hu","doi":"10.1109/TCC.2023.3333813","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13202,"journal":{"name":"IEEE Transactions on Cloud Computing","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cloud Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10321670/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.