research-article

Public Access

Direct Telemetry Access

Authors:

Jonatan Langlet,

Gabriele Oliaro,

Michael Mitzenmacher,

Gianni AntichiAuthors Info & Claims

ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference

Pages 832 - 849

https://doi.org/10.1145/3603269.3604827

Published: 01 September 2023 Publication History

Abstract

Fine-grained network telemetry is becoming a modern datacenter standard and is the basis of essential applications such as congestion control, load balancing, and advanced troubleshooting. As network size increases and telemetry gets more fine-grained, there is a tremendous growth in the amount of data needed to be reported from switches to collectors to enable network-wide view. As a consequence, it is progressively hard to scale data collection systems.

We introduce Direct Telemetry Access (DTA), a solution optimized for aggregating and moving hundreds of millions of reports per second from switches into queryable data structures in collectors' memory. DTA is lightweight and it is able to greatly reduce overheads at collectors. DTA is built on top of RDMA, and we propose novel and expressive reporting primitives to allow easy integration with existing state-of-the-art telemetry mechanisms such as INT or Marple.

We show that DTA significantly improves telemetry collection rates. For example, when used with INT, it can collect and aggregate over 400M reports per second with a single server, improving over the Atomic MultiLog by up to 16x.

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Cited By

Kumar ABose ATiwari KMishra ADixit AKhan AVutukuru M(2024)Feasibility of Application Layer Header Parsing in eBPF and P42024 IFIP Networking Conference (IFIP Networking)10.23919/IFIPNetworking62109.2024.10619855(475-481)Online publication date: 3-Jun-2024
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Index Terms

Direct Telemetry Access
1. Networks
  1. Network services

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cover image ACM Conferences

ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference

September 2023

1217 pages

ISBN:9798400702365

DOI:10.1145/3603269

Chairs:
Henning Schulzrinne,
Vishal Misra,
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Eddie Kohler,
David Maltz

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https://doi.org/10.23919/IFIPNetworking62109.2024.10619855
Liu KZhang JJiang ZZhang XGuo SBai YDong YZhang ZShi XWang LWei HWang ZPan YPan THuang T(2024)Hostmesh: Monitor and Diagnose Networks in Rail-optimized RoCE ClustersProceedings of the 8th Asia-Pacific Workshop on Networking10.1145/3663408.3663426(122-128)Online publication date: 3-Aug-2024
https://dl.acm.org/doi/10.1145/3663408.3663426
Liu KJiang ZZhang JGuo SZhang XBai YDong YLuo FZhang ZWang LShi XXu HBai YSong DWei HLi BPan YPan THuang TSekar VYu MSeneviratne AVeitch D(2024)R-Pingmesh: A Service-Aware RoCE Network Monitoring and Diagnostic SystemProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672264(554-567)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672264
Gong FRaghunathan DGupta AApostolaki MSekar VYu MSeneviratne AVeitch D(2024)Zoom2Net: Constrained Network Telemetry ImputationProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672225(764-777)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672225
Hussain MCho B(2024)HPTCollector: high-performance telemetry collectorCluster Computing10.1007/s10586-024-04650-wOnline publication date: 30-Jul-2024
https://doi.org/10.1007/s10586-024-04650-w

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