research-article

RSS++: load and state-aware receive side scaling

Authors:

Georgios P. Katsikas,

Gerald Q. Maguire, Jr.,

Dejan KostićAuthors Info & Claims

CoNEXT '19: Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies

Pages 318 - 333

https://doi.org/10.1145/3359989.3365412

Published: 03 December 2019 Publication History

Abstract

While the current literature typically focuses on load-balancing among multiple servers, in this paper, we demonstrate the importance of load-balancing within a single machine (potentially with hundreds of CPU cores). In this context, we propose a new load-balancing technique (RSS++) that dynamically modifies the receive side scaling (RSS) indirection table to spread the load across the CPU cores in a more optimal way. RSS++ incurs up to 14x lower 95^th percentile tail latency and orders of magnitude fewer packet drops compared to RSS under high CPU utilization. RSS++ allows higher CPU utilization and dynamic scaling of the number of allocated CPU cores to accommodate the input load while avoiding the typical 25% over-provisioning.

RSS++ has been implemented for both (i) DPDK and (ii) the Linux kernel. Additionally, we implement a new state migration technique which facilitates sharding and reduces contention between CPU cores accessing per-flow data. RSS++ keeps the flow-state by groups that can be migrated at once, leading to a 20% higher efficiency than a state of the art shared flow table.

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Index Terms

RSS++: load and state-aware receive side scaling
1. Networks

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cover image ACM Conferences

CoNEXT '19: Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies

December 2019

395 pages

ISBN:9781450369985

DOI:10.1145/3359989

General Chairs:
Aziz Mohaisen
University of Central Florida
,
Zhi-Li Zhang
University of Minnesota

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Published: 03 December 2019

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H2020 European Research Council
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CoNEXT '19

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CoNEXT '19: The 15th International Conference on emerging Networking EXperiments and Technologies

December 9 - 12, 2019

Florida, Orlando

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https://doi.org/10.1016/j.comnet.2024.110982
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Parola FQi SNarappa ARamakrishnan KRisso F(2024)SURE: Secure Unikernels Make Serverless Computing Rapid and EfficientProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698558(668-688)Online publication date: 20-Nov-2024
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