Labeling Cloud Metrics Data for Fault Detection in Cloud Using Active Learning With Test Suite-Reference-Cited by-同舟云学术

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Labeling Cloud Metrics Data for Fault Detection in Cloud Using Active Learning With Test Suite

Published:2024-06 Issue:3 Volume:21 Page:2837-2853
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Bagora Prateek¹^ORCID,Ebrahimzadeh Amin¹^ORCID,Wuhib Fetahi²^ORCID,Glitho Roch H.¹^ORCID

Affiliation:

1. CIISE, Concordia University, Montreal, QC, Canada

2. Ericsson Research, Montreal, QC, Canada

Funder

Ericsson/ENCQOR-5G Senior Industrial Research Chair on Cloud and Edge Computing for 5G and Beyond

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10599562/10402019.pdf?arnumber=10402019

Reference27 articles.

1. Efficient Failure Diagnosis of OpenStack Using Tempest

2. Optimization of test suite-test case in regression test

3. Infrastructure fault detection and prediction in edge cloud environments

4. Automated Concept Drift Handling for Fault Prediction in Edge Clouds Using Reinforcement Learning

5. A fault detection and diagnosis approach for multi-tier application in cloud computing

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