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Workaround prediction of cloud alarms using machine learning

    Authors

    • Dhanya S Karanth 1
    • Kumaraswamy H.V 2
    • Rajesh Kumar 3

    1 PG – Digital Communication, RV College of Engineering, Bangalore, Karnataka

    2 Professor and Associate Dean, Department of Electronics and Telecommunication Engineering, RV College of Engineering, Bangalore, Karnataka, India.

    3 Technical Leader, CDS-TC&SRN, Mobile Networks, Nokia, Bangalore, India

,

Document Type : Research Article

10.47392/irjash.2021.231
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Abstract

Cloud-based systems implies to applications, resources or services provided to users as per their requirement through the Internet using a cloud computing provider’s server. These clouds triggers alarm events to indicate the health of system. Monitoring these alarms is essential for maintaining the health and continuous functioning of cloud. Because of humungous alarms triggered on daily basis, notifying critical alarms in time and taking required action is quite challenging task. In this paper machine learning model is implemented using decision tree classifier to analyse each alarm and predict if any action required for that alarm or not and also notify the concerned team via creating JIRA tickets.

Keywords

  • cloud alarms
  • Machine Learning
  • prediction
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International Research Journal on Advanced Science Hub
Volume 3, Issue 8
August 2021
Page 164-168
Files
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  • PDF 2.13 M
History
  • Receive Date: 12 June 2021
  • Revise Date: 01 January 1970
  • Accept Date: 17 July 2021
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  • PDF Download: 125

APA

Karanth, D. S. , H.V, K. and Kumar, R. (2021). Workaround prediction of cloud alarms using machine learning. International Research Journal on Advanced Science Hub, 3(8), 164-168. doi: 10.47392/irjash.2021.231

MLA

Karanth, D. S. , , H.V, K. , and Kumar, R. . "Workaround prediction of cloud alarms using machine learning", International Research Journal on Advanced Science Hub, 3, 8, 2021, 164-168. doi: 10.47392/irjash.2021.231

HARVARD

Karanth, D. S., H.V, K., Kumar, R. (2021). 'Workaround prediction of cloud alarms using machine learning', International Research Journal on Advanced Science Hub, 3(8), pp. 164-168. doi: 10.47392/irjash.2021.231

CHICAGO

D. S. Karanth , K. H.V and R. Kumar, "Workaround prediction of cloud alarms using machine learning," International Research Journal on Advanced Science Hub, 3 8 (2021): 164-168, doi: 10.47392/irjash.2021.231

VANCOUVER

Karanth, D. S., H.V, K., Kumar, R. Workaround prediction of cloud alarms using machine learning. International Research Journal on Advanced Science Hub, 2021; 3(8): 164-168. doi: 10.47392/irjash.2021.231

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