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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
PREVENTIVE ANALYSIS FOR APPLICATION SYSTEM FAILURE USING SERVER METRICS AND RANDOM-FOREST ENSEMBLE LEARNING
Authors
VENKATA YUGESH YERRAGUNTLA
Keywords
Application Monitoring, Error/anomaly Detection, Predictive Analysis, Random Forests, Supervised Learning, Server Log analysis.
Abstract
The purpose of this project is to build a self-learning solution to analyze the triggers, patterns and trends in historical logs that resulted in prior system or application degradation / failure and to create a model to predict system or application failures based on real-time logs. In this scenario, the solution should be able to identify and predict the errors based on the real time log data and notify to the user or present the same in a readable format.
IJCRT's Publication Details
Unique Identification Number - IJCRT2101111
Paper ID - 202003
Page Number(s) - 891-900
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
VENKATA YUGESH YERRAGUNTLA, "PREVENTIVE ANALYSIS FOR APPLICATION SYSTEM FAILURE USING SERVER METRICS AND RANDOM-FOREST ENSEMBLE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.891-900, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101111.pdf
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Volume 12 | Issue 6
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June 2024
Volume 12 | Issue 6
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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