poster

AI & eBPF based performance anomaly detection system

Authors:

Ido Ben-Yair,

Pavel Rogovoy,

Nezer ZaidenbergAuthors Info & Claims

SYSTOR '19: Proceedings of the 12th ACM International Conference on Systems and Storage

Page 180

https://doi.org/10.1145/3319647.3325842

Published: 22 May 2019 Publication History

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Abstract

We describe means to run eBPF on a production environment for systems inspection. We examine the inspected system outputs in order to train and generate a model for the host. We model the specific application and network traffic usage on the site based on the data collected by eBPF. Our system generates alerts when an anomaly in performance is detected on a specific host. These warnings can be used to discover the root cause for performance problems, cyber-security issues and warn in advance about potential performance peaks.

Cited By

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Deokar MMen JCastanheira LBhardwaj ABenson T(2024)An Empirical Study on the Challenges of eBPF Application DevelopmentProceedings of the ACM SIGCOMM 2024 Workshop on eBPF and Kernel Extensions10.1145/3672197.3673429(1-8)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3672197.3673429
Benson TKannan PGupta PMadhavan BArora KMeng JLau MDhamija AKrishnamurthy RSundaresan SSpring NZhang YSekar VYu MSeneviratne AVeitch D(2024)NetEdit: An Orchestration Platform for eBPF Network Functions at ScaleProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672227(721-734)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672227
Hara TSasabe M(2023)On Practicality of Kernel Packet Processing Empowered by Lightweight Neural Network and Decision Tree2023 14th International Conference on Network of the Future (NoF)10.1109/NoF58724.2023.10302811(89-97)Online publication date: 4-Oct-2023
https://doi.org/10.1109/NoF58724.2023.10302811
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Index Terms

AI & eBPF based performance anomaly detection system
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Reliability
  2. Embedded and cyber-physical systems
    1. Embedded systems

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Information & Contributors

Information

Published In

SYSTOR '19: Proceedings of the 12th ACM International Conference on Systems and Storage

May 2019

211 pages

ISBN:9781450367493

DOI:10.1145/3319647

General Chair:
Moshik Hershcovitch
IBM Research
,
Program Chairs:
Ashvin Goel
University of Toronto
,
Adam Morrison
Tel Aviv University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

USENIX Assoc: USENIX Assoc

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2019

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Poster

Conference

SYSTOR '19

Sponsor:

SIGOPS

SYSTOR '19: The 12th ACM International Systems and Storage Conference

June 3 - 5, 2019

Haifa, Israel

Acceptance Rates

Overall Acceptance Rate 108 of 323 submissions, 33%

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Cited By

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Deokar MMen JCastanheira LBhardwaj ABenson T(2024)An Empirical Study on the Challenges of eBPF Application DevelopmentProceedings of the ACM SIGCOMM 2024 Workshop on eBPF and Kernel Extensions10.1145/3672197.3673429(1-8)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3672197.3673429
Benson TKannan PGupta PMadhavan BArora KMeng JLau MDhamija AKrishnamurthy RSundaresan SSpring NZhang YSekar VYu MSeneviratne AVeitch D(2024)NetEdit: An Orchestration Platform for eBPF Network Functions at ScaleProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672227(721-734)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672227
Hara TSasabe M(2023)On Practicality of Kernel Packet Processing Empowered by Lightweight Neural Network and Decision Tree2023 14th International Conference on Network of the Future (NoF)10.1109/NoF58724.2023.10302811(89-97)Online publication date: 4-Oct-2023
https://doi.org/10.1109/NoF58724.2023.10302811
Ivašauskas SGaubas MBukauskas L(2023)In-Kernel Authentication Request Analysis for Human and Bot DistinctionHCI International 2023 – Late Breaking Papers10.1007/978-3-031-48057-7_25(408-417)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-48057-7_25
Magnani SRisso FSiracusa D(2022)A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPFIEEE Access10.1109/ACCESS.2022.320264410(90778-90791)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3202644

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Anomaly Detection Model for Process Resource Usage in Hybrid System based on eBPF and Isolation Forest

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An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks