Diagnosing Distributed Systems through Log Data Analysis

TL;DR

This paper explores log data analysis techniques for diagnosing distributed systems, addressing challenges posed by the lack of direct happen-before relations, and proposes solutions for effective performance analysis.

Contribution

It introduces methods for log-based performance diagnosis in distributed systems, highlighting challenges and offering novel solutions for improved analysis accuracy.

Findings

Effective log analysis methods for centralized systems

Identified challenges in distributed system log analysis

Proposed solutions improve performance diagnosis accuracy

Abstract

The log-based analysis and trouble-shooting has remained prevalent and commonly used approach for centralized and time-haring systems. However, for parallel and distributed systems where happen-before relations are not directly available between the events, it become a challenge to fully depend on log-based analysis in such instances. This article attempts to provide solutions using log-based performance analysis of centralized system, and demonstrates the results and their effectiveness, as well presents the challenges and proposes solutions for performance analysis in distributed and parallel systems.