Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification and Validation of Reference Genes for Reliable RT-qPCR Normalization in <i>Schisandra chinensis</i> Across Different Tissues and Abiotic Stress Conditions.

Plants (Basel, Switzerland)·2026
Same author

Immediate implant placement in thin buccal bone phenotype: CBCT-based retrospective comparison between DBBM and H-PRF bone block.

Oral surgery, oral medicine, oral pathology and oral radiology·2026
Same author

The role of oxidative stress-induced ribosomal dysfunction in embryogenic decline of Schisandra chinensis.

Tree physiology·2026
Same author

Association Between Impaired Fasting Glucose and Adverse Outcomes in Patients Treated With Peritoneal Dialysis: A Retrospective Study From Southern China.

Endocrinology, diabetes & metabolism·2026
Same author

The association between asthma and ADHD in children and adolescents: An observational study and a meta-analysis of Mendelian randomization studies.

Medicine·2026
Same author

A review of nucleic acid aptamer-functionalized metal-organic frameworks for cancer biomarker detection.

Colloids and surfaces. B, Biointerfaces·2026

Related Experiment Video

Updated: Jul 11, 2025

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

8.4K

GRAND: GAN-based software runtime anomaly detection method using trace information.

Shiyi Kong1, Jun Ai2, Minyan Lu2

  • 1School of Reliability and Systems Engineering, Beihang University, No. 37, Xueyuan Road, Haidian District, Beijing 100191, China; Beijing Institute of Astronautical Systems Engineering, No. 1, Nandahongmen Road, Fengtai District, Beijing 100076, China.

Neural Networks : the Official Journal of the International Neural Network Society
|November 4, 2023
PubMed
Summary

This study introduces GRAND, a neural network for software anomaly detection using internal execution traces. It significantly improves failure detection in complex systems like Cassandra, achieving a 99% F1-score.

Keywords:
GANInternal execution traceSoftware anomaly detectionUnsupervised learningVAE

More Related Videos

Utilization of Grafix for the Detection of Transient Interactors of Saccharomyces cerevisiae Spliceosome Subcomplexes
05:44

Utilization of Grafix for the Detection of Transient Interactors of Saccharomyces cerevisiae Spliceosome Subcomplexes

Published on: November 9, 2020

3.6K
Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

9.5K

Related Experiment Videos

Last Updated: Jul 11, 2025

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

8.4K
Utilization of Grafix for the Detection of Transient Interactors of Saccharomyces cerevisiae Spliceosome Subcomplexes
05:44

Utilization of Grafix for the Detection of Transient Interactors of Saccharomyces cerevisiae Spliceosome Subcomplexes

Published on: November 9, 2020

3.6K
Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

9.5K

Area of Science:

  • Computer Science
  • Software Engineering
  • Artificial Intelligence

Background:

  • Software runtime anomaly detection is crucial for identifying system faults before critical failures.
  • Existing methods often rely on external performance indicators, potentially missing internal functional errors.

Purpose of the Study:

  • To propose a novel neural network model, GRAND, for detecting software anomalies using internal execution traces.
  • To evaluate GRAND's effectiveness in identifying failures beyond performance issues, including functional errors.

Main Methods:

  • Developed GRAND, a neural network combining a variational autoencoder and a generative adversarial network.
  • Utilized internal execution traces from the Cassandra database system for empirical evaluation.
  • Collected a large dataset comprising 5180 time series with over ten million data points each.

Main Results:

  • GRAND achieved a 99% F1-score, outperforming baseline models (93% and 87%).
  • Ablation studies revealed workload information improved F1-score by 16% by ensuring task consistency.
  • An attention mechanism for data fusion enhanced the F1-score by 32%.

Conclusions:

  • GRAND effectively detects software anomalies using internal execution traces, surpassing existing methods.
  • The model's architecture, incorporating workload information and an attention mechanism, contributes to its superior performance.
  • This approach offers a more comprehensive method for ensuring the reliability of complex software systems.