Analysis of CDN Website Logs Based on Hadoop
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.110How to use a DOI?
- log analysis mass data Hadoop MapReduce
- This paper designs a framework of CDN website log system based on Hadoop and a set of algorithm on the basis of user action mode excavation to analyze and process logs from searching engines. The monitor and regulation of colonies can be realized in platform monitoring modules. Under the guideline of data excavation process, this paper adopts Hadoop, an analysis tool for mass data as the experiment platform. The MapReduce reflection/excavation programming model is used. Simple and applicable HIVE from SQL and Hbase mass data pool are used to process mass logs. The writer conducts a detailed analysis on user searching action from such perspectives as topics, hits, URL order and conversational analysis to optimize platform performance and compare the system before and after the optimization. Experiment data is shown in this paper to explain that the log platform here is quite stable and efficient.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qing Song PY - 2015/04 DA - 2015/04 TI - Analysis of CDN Website Logs Based on Hadoop BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 599 EP - 604 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.110 DO - https://doi.org/10.2991/amcce-15.2015.110 ID - Song2015/04 ER -