Web traffic Analysis for Content Prioritization

Abstract

This paper details on web traffic analysis of Lanka Educational And Research Network (LEARN). Since the haracteristics of Web traffic are influenced by organizational internal as well as external vectors, understanding of these parameters and identification of their statistical behavior is the main objective of this study. Performing extensive exploration of the actual traffic content would enable LEARN to identify its web traffic content and access patterns, which would be useful when designing new caching and prioritizing policies. Also it is important to find out the impact of the internal factors like academic calendar on the web traffic pattern, which could be successfully incorporated in new designs of caching protocols because of their predictable behavior.