Website access analysis system and method based on built-in code proxy log

Abstract

A system and a method for actualizing website access analysis by an agent log of embedded code relates to a website analysis system and a method, wherein the system comprises 'webpage-embedded code', 'information acquiring webpage', 'agent log server', 'agent log program', 'error information webpage', ' analysis engine server', and 'analysis engine program'; the webpage-embedded code and the error information webpage link invoke the information acquiring webpage, the information acquiring webpage invokes agent log program, and the agent log program records an access information to generate an access log, an error log and a cookie check list, and the analysis engine program analyzes the file generated by the agent log program. The invention combines two access analysis modes of 'embedded code' and 'log analysis', which satisfies require for rapid and real-time statistics, and uses log to record information to make a deep access analysis and data excavation convenient. The invention simplifies the complexity of the website access analysis system, and provides a better frame design solving scheme for the design of large-sized website access analysis system.

Description

Technical field: [0001] The invention relates to a system and method for website access analysis and traffic analysis. Background technique: [0002] Now there are many website access analysis or traffic analysis systems in the world, usually using two architectures: embedded code and log analysis. [0003] The embedded code structure is to embed a JavaScript program in a web page, record access information, and perform access statistical analysis. Its main advantages are: fast statistics, access information directly enters the analysis system, and real-time statistics of access information; Cookies can be used to identify visitor machines. The main disadvantages are: codes cannot be embedded in streaming media files such as GIF, JPEG, FLASH, MP3, etc.; cookies cannot be generated across domain names. When the same website links to content from other websites with different domain names, cross-domain statistical analysis is difficult; there is no error message log Records,...

AI Technical Summary

Problems solved by technology

The main disadvantages are: codes cannot be embedded in streaming media files such as GIF, JPEG, FLASH, MP3, etc.; cookies cannot be generated across domain names. When the same website links to content from other websites with different domain names, cross-domain statistical analysis is difficult; there is no error message log record, no error analysis can be performed; since the detailed access information does not "land", no access log files are generated, which is inconvenient for data mining in the future

[0004] The log analysis structure uses the access log files generated by the Web server itself for analysis. The main advantages are: detailed record information, which can analyze the access status of streaming media files such as GIF, JPEG, FLASH, MP3, etc.; does not distinguish domain name record information; main disadvantages Yes: Real-time analysis is not possible, and it is inconvenient to use cookies to identify users; for distributed cluster server websites, access logs need to be downloaded and merged separately, which takes time

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