Web Analytics
S3 Lab - Software & Systems Security Laboratory The University of Texas at Dallas

PerfGuard: Binary-Centric Application Performance Monitoring in Production Environments

Chung Hwan Kim, Junghwan Rhee, Kyu Hyung Lee, Xiangyu Zhang, and Dongyan Xu

Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE) 2016.

DOI: 10.1145/2950290.2950347

areas
Program Analysis, Binary Analysis & Instrumentation

abstract

Diagnosis of performance problems is an essential part of software development and maintenance. This is in particular a challenging problem to be solved in the production environment where only program binaries are available with limited or zero knowledge of the source code. This problem is compounded by the integration with a significant number of third-party software in most large-scale applications. Existing approaches either require source code to embed manually constructed logic to identify performance problems or support a limited scope of applications with prior manual analysis. This paper proposes an automated approach to analyze application binaries and instrument the binary code transparently to inject and apply performance assertions on application transactions. Our evaluation with a set of largescale application binaries without access to source code discovered 10 publicly known real world performance bugs automatically and shows that PerfGuard introduces very low overhead (less than 3% on Apache and MySQL server) to production systems.

related project

CLUE CLUE

The CLUE project develops an infrastructure to detect and diagnose system anomalies in enterprise and cloud systems. These anomalies include stealthy malware and other types of hidden system anomalies. CLUE provides a diverse set of tools to find and understand such anomalies with minimal disruption to the target system.