HyperDrive: Direct Network Telemetry Storage via Programmable Switches

In cloud datacenter operations, telemetry and logs are indispensable, enabling essential services such as network diagnostics, auditing, and knowledge discovery. The escalating scale of data centers, coupled with increased bandwidth and finer-grained telemetry, results in an overwhelming volume of data. This proliferation poses significant storage challenges for telemetry systems. In this article, we introduce HyperDrive, an innovative system designed to efficiently store large volumes of telemetry and logs in data centers using programmable switches. This in-network approach effectively mitigates bandwidth bottlenecks commonly associated with traditional endpoint-based methods. To our knowledge, we are the first to use a programmable switch to directly control storage, bypassing the CPU to achieve the best performance. With merely 21% of a switch’s resources, our HyperDrive implementation showcases remarkable scalability and efficiency. Through rigorous evaluation, it has demonstrated linear scaling capabilities, efficiently managing 12 SSDs on a single server with minimal host overhead. In an eight-server testbed, HyperDrive achieved an impressive throughput of approximately 730 Gbps, underscoring its potential to transform data center telemetry and logging practices.

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Publication Details

Journal
IEEE Transactions on Cloud Computing
Published
2025-02-18
DOI
https://doi.org/10.1109/tcc.2025.3543477
Primary Topic
Embedded Systems Design Techniques
Type
article
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article

HyperDrive: Direct Network Telemetry Storage via Programmable Switches

Zhixiong Niu, Ran Shu, Dan R. K. Ports, Ziyuan Liu et al.
IEEE Transactions on Cloud Computing
Embedded Systems Design Techniques
article

HyperDrive: Direct Network Telemetry Storage via Programmable Switches

Zhixiong Niu, Ran Shu, Dan R. K. Ports, Ziyuan Liu, Jacob Nelson, Yongqiang Xiong, Peng Cheng, Lihua Yuan, Wenxue Cheng
article en

Abstract

In cloud datacenter operations, telemetry and logs are indispensable, enabling essential services such as network diagnostics, auditing, and knowledge discovery. The escalating scale of data centers, coupled with increased bandwidth and finer-grained telemetry, results in an overwhelming volume of data. This proliferation poses significant storage challenges for telemetry systems. In this article, we introduce HyperDrive, an innovative system designed to efficiently store large volumes of telemetry and logs in data centers using programmable switches. This in-network approach effectively mitigates bandwidth bottlenecks commonly associated with traditional endpoint-based methods. To our knowledge, we are the first to use a programmable switch to directly control storage, bypassing the CPU to achieve the best performance. With merely 21% of a switch’s resources, our HyperDrive implementation showcases remarkable scalability and efficiency. Through rigorous evaluation, it has demonstrated linear scaling capabilities, efficiently managing 12 SSDs on a single server with minimal host overhead. In an eight-server testbed, HyperDrive achieved an impressive throughput of approximately 730 Gbps, underscoring its potential to transform data center telemetry and logging practices.

IEEE Transactions on Cloud ComputingVol. 13(2)
Microsoft (United States) (US), Microsoft Research Asia (China) (CN), Microsoft Research (United Kingdom) (GB), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 98%
Embedded Systems Design Techniques
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HyperDrive: Direct Network Telemetry Storage via Programmable Switches — Zhixiong Niu, Ran Shu, et al. · IEEE Transactions on Cloud Computing (2025) | TGRS Research Map | TGRS