Zeta: A Scalable and Robust East-West Communication Framework in Large-Scale Clouds
Qianyu Zhang, Gongming Zhao, Hongli Xu, Zhuolong Yu, Liguang Xie, Yangming Zhao, Chunming Qiao, Ying Xiong, Liusheng Huang
Abstract
With the broad deployment of distributed applications on clouds, the dominant volume of traffic in cloud networks traverses in an east-west direction, flowing from server to server within a data center. Existing communication solutions are tightly coupled with either the control plane (e.g., preprogrammed model) or the location of compute nodes (e.g., conventional gateway model). The tight coupling makes it challenging to adapt to rapid network expansion, respond to network anomalies (e.g., burst traffic and device failures), and maintain low latency for east-west traffic.
To address this issue, we design Zeta, a scalable and robust east-west communication framework with gateway clusters in large-scale clouds. Zeta abstracts the traffic forwarding capability as a Gateway Cluster Layer, decoupled from the logic of control plane and the location of compute nodes. Specifically, Zeta adopts gateway clusters to support large-scale networks and cope with burst traffic. Moreover, a transparent Multi IPs Migration is proposed to quickly recover the system/devices from unpredictable failures. We implement Zeta based on eXpress Data Path (XDP) and evaluate its scalability and robustness through comprehensive experiments with up to 100k container instances. Our evaluation shows that Zeta reduces the 99% RTT by 5.1× × × in burst video traffic, and speeds up the gateway recovery by 10.8× × × compared with the state-of-the-art solutions.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 42d1e673-cdfb-4a94-b6a8-a1670c84ab4aCited by top-tier papers2
- Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud NetworksChengkun Wei, Xing Li, Ye Yang, Xiaochong Jiang et al.SIGCOMM 2023 · 25 citations
- Decouple and Decompose: Scaling Resource Allocation with DeDeZhiying Xu, Minlan Yu, Francis Y. YanOSDI 2025 · 5 citations
Builds on8
- Understanding host network stack overheadsQizhe Cai, Shubham Chaudhary, Midhul Vuppalapati, Jaehyun Hwang et al.SIGCOMM 2021 · 150 citations
- Sailfish: accelerating cloud-scale multi-tenant multi-service gateways with programmable switchesTian Pan, Nianbing Yu, Chenhao Jia, Jianwen Pi et al.SIGCOMM 2021 · 111 citations
- Orion: Google's Software-Defined Networking Control PlaneAndrew D. Ferguson, Steve D. Gribble, Chi-Yao Hong, Charles Killian et al.NSDI 2021 · 95 citations
- BMC: Accelerating Memcached using Safe In-kernel Caching and Pre-stack ProcessingYoann Ghigoff, Julien Sopena, Kahina Lazri, Antoine Blin et al.NSDI 2021 · 79 citations
- revisiting the open vSwitch dataplane ten years laterWilliam Tu, Yi-Hung Wei, Gianni Antichi, Ben PfaffSIGCOMM 2021 · 63 citations
Related papers
- TGW: Operating an Efficient and Resilient Cloud Gateway at ScaleYifan Yang, Lin He, Jiasheng Zhou, Xiaoyi Shi et al.USENIX ATC 2025
- X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes ClustersPengbo Wang, Gongming Zhao, Yuantao Wu, Hongli Xu et al.WWW 2025 · 2 citations
- Aquila: A unified, low-latency fabric for datacenter networksDan Gibson, Hema Hariharan, Eric Lance, Moray McLaren et al.NSDI 2022 · 60 citations
- Meteor: High-Performance Control Message Delivery for Large-Scale CloudsGongming Zhao, Baoqing Wang, Min Chen, Hongli Xu et al.WWW 2026
- Zettafly: A Network Topology with Flexible Non-blocking Regions for Large-scale AI and HPC SystemsDezun Dong, Ziyu Wang, Fei LeiISCA 2025 · 7 citations
