Log Analysis Case Study Using LoGS

TL;DR

This paper discusses the use of LoGS for real-time log analysis to help network administrators identify problematic network behavior more efficiently in large-scale networks.

Contribution

It introduces the application of LoGS for real-time log analysis, improving detection of network issues compared to traditional post-event analysis.

Findings

LoGS enables real-time detection of network anomalies.

Real-time analysis reduces response time to network problems.

Enhanced contextual understanding improves troubleshooting accuracy.

Abstract

A very useful technique a network administrator can use to identify problematic network behavior is careful analysis of logs of incoming and outgoing network flows. The challenge one faces when attempting to undertake this course of action, though, is that large networks tend to generate an extremely large quantity of network traffic in a very short period of time, resulting in very large traffic logs which must be analyzed post-generation with an eye for contextual information which may reveal symptoms of problematic traffic. A better technique is to perform real-time log analysis using a real-time context-generating tool such as LoGS.