Tingting Xu, Nanjing University; Bengbeng Xue, Yang Song, Xiaomin Wu, Xiaoxin Peng, and Yilong Lyu, Alibaba Group; Xiaoliang Wang, Chen Tian, Baoliu Ye, and Camtu Nguyen, Nanjing University; Biao Lyu and Rong Wen, Alibaba Group; Zhigang Zong, Alibaba Group and Zhejiang University; Shunmin Zhu, Alibaba Group and Tsinghua University
Network functions (NFs) facilitate network operations and have become a critical service offered by cloud providers. One of the key challenges is how to meet the elastic requirements of massive traffic and diverse NF requests of tenants. This paper identifies the opportunity by leveraging cloud elastic compute services (ECS), i.e. containers or virtual machines, to provide the cloud-scale network function services, CyberStar. CyberStar introduces two key designs: (i) resource pooling based on a newly proposed three-tier architecture for scalable network functions; and (ii) on-demand resource assignment while maintaining high resource utilization in terms of both tenant demands and operation cost. Compared to the traditional NFs constructed over bare-metal servers, CyberStar can achieve 100Gbps bandwidth (6.7×) and scale to millions of connections within one second (20×).
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author = {Tingting Xu and Bengbeng Xue and Yang Song and Xiaomin Wu and Xiaoxin Peng and Yilong Lyu and Xiaoliang Wang and Chen Tian and Baoliu Ye and Camtu Nguyen and Biao Lyu and Rong Wen and Zhigang Zong and Shunmin Zhu},
title = {{CyberStar}: Simple, Elastic and {Cost-Effective} Network Functions Management in Cloud Network at Scale},
booktitle = {2024 USENIX Annual Technical Conference (USENIX ATC 24)},
year = {2024},
isbn = {978-1-939133-41-0},
address = {Santa Clara, CA},
pages = {227--246},
url = {https://www.usenix.org/conference/atc24/presentation/xu-tingting},
publisher = {USENIX Association},
month = jul
}