Main Reference PaperA Markov Random Field Based Approach for Analyzing Supercomputer System Logs, IEEE Transactions on Cloud Computing, March 2017 [Java]
  • A log analysis framework is proposed that applies markov random field (MRF) approach to classify the logs into multiple categories based on the training samples and supports the scalability of analyzing large scale data of systems.

+ Description
  • A log analysis framework is proposed that applies markov random field (MRF) approach to classify the logs into multiple categories based on the training samples and supports the scalability of analyzing large scale data of systems.

  • To improve the speed of log categorization.

  • To support the analysis of large system log data.

+ Aim & Objectives
  • To improve the speed of log categorization.

  • To support the analysis of large system log data.

  • A technique is contributed that improves the speed further.

+ Contribution
  • A technique is contributed that improves the speed further.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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