Essays about: "error log clustering"

Showing result 1 - 5 of 8 essays containing the words error log clustering.

1. 1. Log Frequency Analysis for Anomaly Detection in Cloud Environments

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Prathyusha Bendapudi; [2024]
   Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

   Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

3. 2. Log Anomaly Detection of Structured Logs in a Distributed Cloud System

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : David Nilsson; Albin Olsson; [2022]
   Keywords : Technology and Engineering;

   Abstract : As computer systems grow larger and more complex, the task of maintaining the system and finding potential security threats or other malfunctions become increasingly hard. Traditionally, this has had to be done by manually examining the logs. READ MORE

4. 3. NLP-based Failure log Clustering to Enable Batch Log Processing in Industrial DevOps Setting

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Ali Homayouni; [2022]
   Keywords : natural language processing; failure clustering; nightly testing; industrial devops;

   Abstract : The rapid development, updating, and maintenance of industrial software systems have increased the necessity for software artifact testing. Some medium and large industries are forced to automate the test analysis process due to the proliferation of test data. READ MORE

5. 4. Anomaly Detection in Log Files Using Machine Learning Techniques

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Lakshmi Geethanjali Mandagondi; [2021]
   Keywords : Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

   Abstract : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. READ MORE

6. 5. Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers.

   University essay from Linköpings universitet/Programvara och system

   Author : Jonatan Bjurenfalk; August Johnson; [2021]
   Keywords : Unsupervised learning; machine learning; clustering; DBSCAN; HDBSCAN; X-Means; outlier detection; error log clustering;

   Abstract : For large and complex software systems, it is a time-consuming process to manually inspect error logs produced from the test suites of such systems. Whether it is for identifyingabnormal faults, or finding bugs; it is a process that limits development progress, and requires experience. READ MORE