Invention Grant
- Patent Title: Unsupervised methodology to unveil content delivery network structures
-
Application No.: US14524566Application Date: 2014-10-27
-
Publication No.: US09686173B1Publication Date: 2017-06-20
- Inventor: Danilo Giordano , Stefano Traverso , Marco Mellia , Luigi Grimaudo , Elena Baralis , Alok Tongaonkar , Sabyasachi Saha , Antonio Nucci
- Applicant: Narus, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Narus, Inc.
- Current Assignee: Narus, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Kwan & Olynick LLP
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L12/26 ; H04L29/06

Abstract:
A method for analyzing a content delivery network. The method includes obtaining network traffic flows corresponding to user nodes accessing contents from a set of servers of the content delivery network, extracting a timing attribute from each network traffic flow associated with a server, where the timing attribute is aggregated into a timing attribute dataset of the server based on all network traffic flows associated with the server, generating a statistical measure of the timing attribute dataset as a portion of a feature vector representing the server, where the feature vector is aggregated into a set of feature vectors representing the set of servers, analyzing the set of feature vectors based on a clustering algorithm to generate a set of clusters, and generating, based on the set of clusters, a representation of server groups in the content delivery network.
Information query