Analyzing traffic behavior of users in the network, especially in growing large networks, is one of the effective tools in network management and planning. By analyzing traffic data, the operator receives various information about the nature of traffic passing through the network, which can be used in technical and strategic decisions. One of the challenges in preparing analytical reports is collecting primary data for review. Due to its functional nature, web caching devices process a significant part of network traffic. Although the device provides basic reports in its management panel, the information received at this level is limited to the existing framework. On the other hand, in this processing operation, the user access log is produced, which contains valuable information about traffic, which, if examined and analyzed with the right tools, provides a very good insight for decision-making by different layers of management and expertise. .

Also, this information can be used in the form of business intelligence reports in sales planning and forecasting of special services for the operator’s customer groups. The effectiveness of this plan is very high at the level of technical management, executive management and business and marketing units of telecommunications operators. Prepared reports provide deeper insight into the existing network and user behavior, which can be used from low-level network management to high-level policy planning.

Chavoosh Engineering Company, due to its active in the field of web caching and the history of installing this system in the network of different operators (fixed, mobile, WiMAX, etc.), has become familiar with this need and has identified its areas of influence with the help of its customers. The web caching equipment provided by this company is currently installed in more than 15 fixed and mobile operators in IRAN and a total capacity of 300 gigabits per second of users’ web traffic passes through this equipment. This volume covers a very comprehensive example of user behavior in different domains that can be used for big data analysis.