Abstract
We design and evaluate SwiSh, a distributed shared state management layer for data-plane P4 programs. SwiSh enables running scalable stateful distributed network functions on programmable switches entirely in the data-plane. We explore several schemes to build a shared variable abstraction, which differ in consistency, performance, and in-switch implementation complexity. We introduce the novel Strong Delayed-Writes (SDW) protocol which offers consistent snapshots of shared data-plane objects with semantics known as r-relaxed strong linearizability, enabling implementation of distributed concurrent sketches with precise error bounds. We implement strong, eventual, and SDW consistency protocols in Tofino switches, and compare their performance in microbenchmarks and three realistic network functions, NAT, DDoS detector, and rate limiter. Our results show that the distributed state management in the data plane is practical, and outperforms centralized solutions by up to four orders of magnitude in update throughput and replication latency.
Original language | English |
---|---|
Title of host publication | Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 |
Publisher | USENIX Association |
Pages | 171-191 |
Number of pages | 21 |
ISBN (Electronic) | 9781939133274 |
State | Published - 2022 |
Event | 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 - Renton, United States Duration: 4 Apr 2022 → 6 Apr 2022 |
Publication series
Name | Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 |
---|
Conference
Conference | 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 |
---|---|
Country/Territory | United States |
City | Renton |
Period | 4/04/22 → 6/04/22 |
Bibliographical note
Funding Information:We would like to thank the anonymous reviewers and our shepherd, Dejan Kostic, for their insightful comments and constructive feedback. Lior Zeno was partially supported by the HPI-Technion Research School. We gratefully acknowledge support from Israel Science Foundation (grants 980/21 and 1027/18) and Technion Hiroshi Fujiwara Cyber Security Research Center.
Publisher Copyright:
© 2022 by The USENIX Association. All Rights Reserved.