SlideShare a Scribd company logo
Monte carlo simulation
(Log processing case)
Present by : doubleA
5970917221 Chakrit Phain
5970984221 Uriwan Angkhawey
2110636 Performance Evaluation and Analysis
Syslog Transform Compress Archive
time spend 20-25sec time spend 10-12sec time spend 4-5sec
Rand(20-25)
n=100000
Rand(10-12)
n=100000
Rand(4-5)
n=100000
Log processing
Determine random samples:
Total Time = Transform+Compress+Archive
Total time spend 34-42 seconds
Information mass
Information Frequency
● ใช้เวลาเร็วที่สุด 34 วินาทีในการ process
● ใช้เวลานานที่สุด 42 วินาทีในการ process
● เวลาโดยเฉลี่ยประมาณ 38 วินาทีในการ process
● ปริมาณ Data ส่วนใหญ่ 80% ใช้เวลาไม่เกิน 39 วินาที
Conclusion

More Related Content

More from Chakrit Phain

PHP Explode & Preg_split Test
PHP Explode & Preg_split TestPHP Explode & Preg_split Test
PHP Explode & Preg_split Test
Chakrit Phain
 
Types of Big Data Analytics
Types of Big Data AnalyticsTypes of Big Data Analytics
Types of Big Data Analytics
Chakrit Phain
 
Genetic Algorithm
Genetic AlgorithmGenetic Algorithm
Genetic Algorithm
Chakrit Phain
 
Machine Learning Algorithm & Anomaly detection 2021
Machine Learning Algorithm & Anomaly detection 2021Machine Learning Algorithm & Anomaly detection 2021
Machine Learning Algorithm & Anomaly detection 2021
Chakrit Phain
 
Text classification With Rapid Miner
Text classification With Rapid MinerText classification With Rapid Miner
Text classification With Rapid Miner
Chakrit Phain
 
Ai optimization Example
Ai optimization ExampleAi optimization Example
Ai optimization Example
Chakrit Phain
 
Zabbix aws
Zabbix awsZabbix aws
Zabbix aws
Chakrit Phain
 
Anomaly Detection Technique
Anomaly Detection TechniqueAnomaly Detection Technique
Anomaly Detection Technique
Chakrit Phain
 
Softnix Anomaly Detection Methods
Softnix Anomaly Detection MethodsSoftnix Anomaly Detection Methods
Softnix Anomaly Detection Methods
Chakrit Phain
 
Neo4j Graph Database และการประยุกตร์ใช้
Neo4j Graph Database และการประยุกตร์ใช้Neo4j Graph Database และการประยุกตร์ใช้
Neo4j Graph Database และการประยุกตร์ใช้
Chakrit Phain
 
Softnix how ml_work_0.1draft
Softnix how ml_work_0.1draftSoftnix how ml_work_0.1draft
Softnix how ml_work_0.1draft
Chakrit Phain
 
Shell Shock
Shell ShockShell Shock
Shell Shock
Chakrit Phain
 
Neo4j introduction
Neo4j introductionNeo4j introduction
Neo4j introduction
Chakrit Phain
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clustering
Chakrit Phain
 
Artificial neural nework classification example
Artificial neural nework classification exampleArtificial neural nework classification example
Artificial neural nework classification example
Chakrit Phain
 
Regular expression
Regular expressionRegular expression
Regular expression
Chakrit Phain
 
Syslog-ng Performance
Syslog-ng Performance Syslog-ng Performance
Syslog-ng Performance
Chakrit Phain
 
Configuration management
Configuration managementConfiguration management
Configuration management
Chakrit Phain
 
Social Network Analysis
Social Network AnalysisSocial Network Analysis
Social Network Analysis
Chakrit Phain
 

More from Chakrit Phain (19)

PHP Explode & Preg_split Test
PHP Explode & Preg_split TestPHP Explode & Preg_split Test
PHP Explode & Preg_split Test
 
Types of Big Data Analytics
Types of Big Data AnalyticsTypes of Big Data Analytics
Types of Big Data Analytics
 
Genetic Algorithm
Genetic AlgorithmGenetic Algorithm
Genetic Algorithm
 
Machine Learning Algorithm & Anomaly detection 2021
Machine Learning Algorithm & Anomaly detection 2021Machine Learning Algorithm & Anomaly detection 2021
Machine Learning Algorithm & Anomaly detection 2021
 
Text classification With Rapid Miner
Text classification With Rapid MinerText classification With Rapid Miner
Text classification With Rapid Miner
 
Ai optimization Example
Ai optimization ExampleAi optimization Example
Ai optimization Example
 
Zabbix aws
Zabbix awsZabbix aws
Zabbix aws
 
Anomaly Detection Technique
Anomaly Detection TechniqueAnomaly Detection Technique
Anomaly Detection Technique
 
Softnix Anomaly Detection Methods
Softnix Anomaly Detection MethodsSoftnix Anomaly Detection Methods
Softnix Anomaly Detection Methods
 
Neo4j Graph Database และการประยุกตร์ใช้
Neo4j Graph Database และการประยุกตร์ใช้Neo4j Graph Database และการประยุกตร์ใช้
Neo4j Graph Database และการประยุกตร์ใช้
 
Softnix how ml_work_0.1draft
Softnix how ml_work_0.1draftSoftnix how ml_work_0.1draft
Softnix how ml_work_0.1draft
 
Shell Shock
Shell ShockShell Shock
Shell Shock
 
Neo4j introduction
Neo4j introductionNeo4j introduction
Neo4j introduction
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clustering
 
Artificial neural nework classification example
Artificial neural nework classification exampleArtificial neural nework classification example
Artificial neural nework classification example
 
Regular expression
Regular expressionRegular expression
Regular expression
 
Syslog-ng Performance
Syslog-ng Performance Syslog-ng Performance
Syslog-ng Performance
 
Configuration management
Configuration managementConfiguration management
Configuration management
 
Social Network Analysis
Social Network AnalysisSocial Network Analysis
Social Network Analysis
 

Monte carlo simulation

  • 1. Monte carlo simulation (Log processing case) Present by : doubleA 5970917221 Chakrit Phain 5970984221 Uriwan Angkhawey 2110636 Performance Evaluation and Analysis
  • 2. Syslog Transform Compress Archive time spend 20-25sec time spend 10-12sec time spend 4-5sec Rand(20-25) n=100000 Rand(10-12) n=100000 Rand(4-5) n=100000 Log processing Determine random samples: Total Time = Transform+Compress+Archive Total time spend 34-42 seconds
  • 5. ● ใช้เวลาเร็วที่สุด 34 วินาทีในการ process ● ใช้เวลานานที่สุด 42 วินาทีในการ process ● เวลาโดยเฉลี่ยประมาณ 38 วินาทีในการ process ● ปริมาณ Data ส่วนใหญ่ 80% ใช้เวลาไม่เกิน 39 วินาที Conclusion