ZipLine: In-Network Compression at Line Speed

Sebastien Vaucher, Niloofar Yazdani, Pascal Felber, Daniel Enrique Lucani Rötter, Valerio Schiavoni

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Network appliances continue to offer novel opportunities to offload processing from computing nodes directly into the data plane. One popular concern of network operators and their customers is to move data increasingly faster. A common technique to increase data throughput is to compress it before its transmission. However, this requires compression of the data - -a time and energy demanding preprocessing phase - -and decompression upon reception - -a similarly resource consuming operation. Moreover, if multiple nodes transfer similar data chunks across the network hop (e.g., a given pair of switches), each node effectively wastes resources by executing similar steps. This paper proposes ZipLine, an approach to design and implement (de)compression at line speed leveraging the Tofino hardware platform which is programmable using the P416 language. We report on lessons learned while building the system and show throughput, latency and compression measurements on synthetic and real-world traces, showcasing the benefits and trade-offs of our design.

    Original languageEnglish
    Title of host publicationCoNEXT 2020 - Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies
    Number of pages7
    PublisherAssociation for Computing Machinery
    Publication date2020
    Pages399-406
    ISBN (Print)978-1-4503-7948-9
    ISBN (Electronic)9781450379489
    DOIs
    Publication statusPublished - 2020
    EventInternational Conference on emerging Networking EXperiments and Technologies - Barcelona, Spain
    Duration: 1 Dec 2020 → …
    Conference number: 20

    Conference

    ConferenceInternational Conference on emerging Networking EXperiments and Technologies
    Number20
    Country/TerritorySpain
    CityBarcelona
    Period01/12/2020 → …

    Keywords

    • P4
    • compression
    • generalized deduplication
    • programmable switches
    • tofino

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