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
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。
它引用的顶会 Paper11
- AccelTCP: Accelerating Network Applications with Stateful TCP OffloadingYoungGyoun Moon, SeungEon Lee, Muhammad Asim Jamshed, KyoungSoo ParkNSDI 2020 · 被引用 121 次
- Sailfish: accelerating cloud-scale multi-tenant multi-service gateways with programmable switchesTian Pan, Nianbing Yu, Chenhao Jia, Jianwen Pi 等SIGCOMM 2021 · 被引用 111 次
- Network Load Balancing with In-network Reordering Support for RDMACha Hwan Song, Xin Zhe Khooi, Raj Joshi, Inho Choi 等SIGCOMM 2023 · 被引用 110 次
- Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load BalancingChaoliang Zeng, Layong Luo, Teng Zhang, Zilong Wang 等NSDI 2022 · 被引用 97 次
- Orion: Google's Software-Defined Networking Control PlaneAndrew D. Ferguson, Steve D. Gribble, Chi-Yao Hong, Charles Killian 等NSDI 2021 · 被引用 95 次
相关 Paper
- Accessing Cloud with Disaggregated Software-Defined RouterHua Shao, Xiaoliang Wang, Yuanwei Lu, Yanbo Yu 等NSDI 2021 · 被引用 22 次
- From Source to Solution: Tackling Packet Losses in Large-scale Cloud Gaming Systematically and PreciselyJing Wang, Xiao Kong, Yunzhe Ni, Nian Wen 等NSDI 2026 · 被引用 1 次
- Harp: Improving VPC Network Availability via Efficient Failure Detection and Rerouting in Tencent CloudJiayu Hu, Feng Jin, Xianping Zhou, Kai Zhang 等NSDI 2026
- Zeta: A Scalable and Robust East-West Communication Framework in Large-Scale CloudsQianyu Zhang, Gongming Zhao, Hongli Xu, Zhuolong Yu 等NSDI 2022 · 被引用 10 次
- Albatross: A Containerized Cloud Gateway Platform with FPGA-accelerated Packet-level Load BalancingJianyuan Lu, Shunmin Zhu, Jun Liang, Yuxiang Lin 等SIGCOMM 2025 · 被引用 4 次
