GoldenOrb: All content tagged as GoldenOrb in NoSQL databases and polyglot persistence
Published by a group from Los Alamos National Lab (Hristo Djidjev, Gary Sandine, Curtis Storlie, Scott Vander Wiel):
We propose a method for analyzing traffic data in large computer networks such as big enterprise networks or the Internet. Our approach combines graph theoretical representation of the data and graph analysis with novel statistical methods for discovering pattern and timerelated anomalies. We model the traffic as a graph and use temporal characteristics of the data in order to decompose it into subgraphs corresponding to individual sessions, whose characteristics are then analyzed using statistical methods. The goal of that analysis is to discover patterns in the network traffic data that might indicate intrusion activity or other malicious behavior.
The embedded PDF and download link after the break.
Announced back in March, Ravel has finally released GoldenOrb an implementation of the Google Pregel paper—if you are not familiar with Google Pregel check the Pregel: Graph Processing at Large-Scale and Ricky Ho’s comparison of Pregel and MapReduce.
GoldenOrb is a cloud-based open source project for massive-scale graph analysis, built upon best-of-breed software from the Apache Hadoop project modeled after Google’s Pregel architecture.
Original title and link: GoldenOrb: Ravel Google Pregel Implementation Released ( ©myNoSQL)