AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring

Lars Wustrich; Sebastian Gallenmuller; Marc Oliver Pahl; Georg Carle

doi:10.1109/NOMS54207.2022.9789839

AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring

Lars Wustrich, Sebastian Gallenmuller, Marc Oliver Pahl, Georg Carle

Informatics 8 - Chair of Network Architectures and Services

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Data center infrastructure monitoring (DCIM) uses various features to track a data center's state. In addition to collecting device-level information, the monitoring also includes physical features such as temperature or power intake to detect equipment failures and anomalies. Measuring physical features requires dedicated sensors at specific vantage points for efficient and reliable data collection. We propose a novel approach for DCIM using acoustic channels. Audio-based DCIM offers substantial benefits: sensors are affordable, data collection is non-intrusive, and audio processing is well-understood. Information extraction from acoustic channels can be challenging due to audio consisting of multiple devices' mixed and often noisy signals. Our paper demonstrates the feasibility of single-node state detection over audio side-channels. Experiments in a real data center show that our sound-based approach can successfully detect errors.

Original language	English
Title of host publication	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
Subtitle of host publication	Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
Editors	Pal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665406017
DOIs	https://doi.org/10.1109/NOMS54207.2022.9789839
State	Published - 2022
Event	2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 - Budapest, Hungary Duration: 25 Apr 2022 → 29 Apr 2022

Publication series

Name	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

Conference

Conference	2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Country/Territory	Hungary
City	Budapest
Period	25/04/22 → 29/04/22

Keywords

anomaly detection
data center monitoring
side-channels

Access to Document

10.1109/NOMS54207.2022.9789839

Cite this

Wustrich, L., Gallenmuller, S., Pahl, M. O., & Carle, G. (2022). AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. In P. Varga, L. Z. Granville, A. Galis, I. Godor, N. Limam, P. Chemouil, J. Francois, & M.-O. Pahl (Eds.), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022 (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NOMS54207.2022.9789839

Wustrich, Lars ; Gallenmuller, Sebastian ; Pahl, Marc Oliver et al. / AC/DCIM : Acoustic Channels for Data Center Infrastructure Monitoring. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. editor / Pal Varga ; Lisandro Zambenedetti Granville ; Alex Galis ; Istvan Godor ; Noura Limam ; Prosper Chemouil ; Jerome Francois ; Marc-Oliver Pahl. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

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title = "AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring",

abstract = "Data center infrastructure monitoring (DCIM) uses various features to track a data center's state. In addition to collecting device-level information, the monitoring also includes physical features such as temperature or power intake to detect equipment failures and anomalies. Measuring physical features requires dedicated sensors at specific vantage points for efficient and reliable data collection. We propose a novel approach for DCIM using acoustic channels. Audio-based DCIM offers substantial benefits: sensors are affordable, data collection is non-intrusive, and audio processing is well-understood. Information extraction from acoustic channels can be challenging due to audio consisting of multiple devices' mixed and often noisy signals. Our paper demonstrates the feasibility of single-node state detection over audio side-channels. Experiments in a real data center show that our sound-based approach can successfully detect errors.",

keywords = "anomaly detection, data center monitoring, side-channels",

author = "Lars Wustrich and Sebastian Gallenmuller and Pahl, {Marc Oliver} and Georg Carle",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 ; Conference date: 25-04-2022 Through 29-04-2022",

year = "2022",

doi = "10.1109/NOMS54207.2022.9789839",

language = "English",

series = "Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Pal Varga and Granville, {Lisandro Zambenedetti} and Alex Galis and Istvan Godor and Noura Limam and Prosper Chemouil and Jerome Francois and Marc-Oliver Pahl",

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Wustrich, L, Gallenmuller, S, Pahl, MO & Carle, G 2022, AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. in P Varga, LZ Granville, A Galis, I Godor, N Limam, P Chemouil, J Francois & M-O Pahl (eds), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, 25/04/22. https://doi.org/10.1109/NOMS54207.2022.9789839

AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. / Wustrich, Lars; Gallenmuller, Sebastian; Pahl, Marc Oliver et al.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. ed. / Pal Varga; Lisandro Zambenedetti Granville; Alex Galis; Istvan Godor; Noura Limam; Prosper Chemouil; Jerome Francois; Marc-Oliver Pahl. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - AC/DCIM

T2 - 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022

AU - Wustrich, Lars

AU - Gallenmuller, Sebastian

AU - Pahl, Marc Oliver

AU - Carle, Georg

PY - 2022

Y1 - 2022

N2 - Data center infrastructure monitoring (DCIM) uses various features to track a data center's state. In addition to collecting device-level information, the monitoring also includes physical features such as temperature or power intake to detect equipment failures and anomalies. Measuring physical features requires dedicated sensors at specific vantage points for efficient and reliable data collection. We propose a novel approach for DCIM using acoustic channels. Audio-based DCIM offers substantial benefits: sensors are affordable, data collection is non-intrusive, and audio processing is well-understood. Information extraction from acoustic channels can be challenging due to audio consisting of multiple devices' mixed and often noisy signals. Our paper demonstrates the feasibility of single-node state detection over audio side-channels. Experiments in a real data center show that our sound-based approach can successfully detect errors.

AB - Data center infrastructure monitoring (DCIM) uses various features to track a data center's state. In addition to collecting device-level information, the monitoring also includes physical features such as temperature or power intake to detect equipment failures and anomalies. Measuring physical features requires dedicated sensors at specific vantage points for efficient and reliable data collection. We propose a novel approach for DCIM using acoustic channels. Audio-based DCIM offers substantial benefits: sensors are affordable, data collection is non-intrusive, and audio processing is well-understood. Information extraction from acoustic channels can be challenging due to audio consisting of multiple devices' mixed and often noisy signals. Our paper demonstrates the feasibility of single-node state detection over audio side-channels. Experiments in a real data center show that our sound-based approach can successfully detect errors.

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KW - side-channels

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U2 - 10.1109/NOMS54207.2022.9789839

DO - 10.1109/NOMS54207.2022.9789839

M3 - Conference contribution

AN - SCOPUS:85133163316

T3 - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

BT - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022

A2 - Varga, Pal

A2 - Granville, Lisandro Zambenedetti

A2 - Galis, Alex

A2 - Godor, Istvan

A2 - Limam, Noura

A2 - Chemouil, Prosper

A2 - Francois, Jerome

A2 - Pahl, Marc-Oliver

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 April 2022 through 29 April 2022

ER -

Wustrich L, Gallenmuller S, Pahl MO, Carle G. AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. In Varga P, Granville LZ, Galis A, Godor I, Limam N, Chemouil P, Francois J, Pahl MO, editors, Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). doi: 10.1109/NOMS54207.2022.9789839

AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring

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Keywords

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