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Heavy Hitter Detection on Multi-Pipeline Switches
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Programvaruteknik och datorsystem, SCS.ORCID-id: 0000-0002-5455-8910
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Programvaruteknik och datorsystem, SCS.ORCID-id: 0000-0002-9675-9729
2021 (Engelska)Ingår i: Proceedings ANCS 2021 - Proceedings of the 2021 Symposium on Architectures for Networking and Communications Systems, Association for Computing Machinery (ACM) , 2021, s. 121-124Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Recently, several applications have been designed and implemented to run entirely in the dataplane. However, most if not all the applications assume that network traffic traverses the same pipe, from ingress to egress inside the switch. While this seems to be a natural assumption, it does not hold for current programmable hardware that supports two to four pipes and network traffic is spread among the different pipes. As a consequence, several applications may not work properly in a multi-pipe architecture and need to be redesigned to fit into such architectural constraint. In this paper, we call the attention to this challenge and elaborate on an initial solution for counting heavy hitters (HH) in a multi-pipe hardware (MPHH). Our solution keeps the HH counter only in the egress pipeline while temporarily caching the hashes at the ingress pipeline. We then carry the hashes from ingress to egress by using data packets so that the HH are counted only in the egress pipeline. We present our design around this issue, the challenges observed so far and some initial results.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM) , 2021. s. 121-124
Nyckelord [en]
Heavy hitter detection, Multi-pipelines, Network monitoring, Programmable networks, Network architecture, 'current, Architectural constraints, Data-plane, Heavy hitte detection, Heavy-hitter, Multi-pipeline, Network traffic, Programmable hardware, Programmable network, Pipelines
Nationell ämneskategori
Programvaruteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-316092DOI: 10.1145/3493425.3502760ISI: 000927857100016Scopus ID: 2-s2.0-85124129542OAI: oai:DiVA.org:kth-316092DiVA, id: diva2:1690517
Konferens
16th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2021, 13-16 December 2021
Anmärkning

Part of proceedings ISBN 9781450391689

QC 20220826

Tillgänglig från: 2022-08-26 Skapad: 2022-08-26 Senast uppdaterad: 2023-09-21Bibliografiskt granskad

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Verdi, FabioChiesa, Marco

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Totalt: 65 träffar
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