Lune

USENIX ATC2025顶会

TGW: Operating an Efficient and Resilient Cloud Gateway at Scale

Yifan Yang, Lin He, Jiasheng Zhou, Xiaoyi Shi, Yichi Xu, Shicheng Wang, Jinlong E, Ying Liu, Junwei Zhang, Zhuang Yuan, Hengyang Xu

出版方
2025年份

摘要

Large-scale cloud data centers have become a critical Internet infrastructure. As the cloud entrance, today's cloud gateways have integrated multiple functions such as elastic public access and load balancing to cope with the rapid growth of services and requirements. To meet the demands of largescale clouds for efficient packet forwarding, scalable state management, and high resilience, we design, deploy, and operate Tencent Gateway (TGW), an efficient and resilient cloud gateway at scale. Compared to other large cloud providers that primarily offer services like search, e-commerce, or shortform video, the "killer services" of Tencent Cloud are online gaming and live streaming, which come with much stricter requirements for latency, jitter, and packet loss. From a technological perspective, TGW is highly decoupled and modular, with core components focused on efficient forwarding planes, a scalable state migration mechanism, a resilient failure recovery mechanism, and a failure detection and localization system. In terms of engineering, TGW has been operating in large-scale, real-world industrial environments for eight years, during which we have gained extensive insights and experience. We evaluate TGW both in testbed and real-world scenarios. In our testbed, TGW's single node achieves 2.9× the forwarding capacity of prior systems. Between clusters, states and traffic can be migrated in 4s without packet loss. In our real-world environment, TGW handles tens of Tbps of traffic, with a worst-case packet drop rate ranging from 10 -7 to 10 -4 , while balancing traffic across clusters. Additionally, TGW can quickly migrate states and traffic and recover from failures without tenant awareness, guided by our failure localization system, achieving 100% availability for years.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

它引用的顶会 Paper11

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖