Visualisation of Distributed Applications for Performance Debugging

Authors:
F.-G. Ottogalli;Cyril Labbé;V. Olive;Benhur de Oliveira Stein;Jacques Chassin de Kergommeaux;Jean-Marc Vincent
Affiliations:
-;-;-;-;-;-
Venue:
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Year:
2001

Citing 8
Cited 3

On efficiently implementing global time for performance evaluation on multiprocessor systems

Journal of Parallel and Distributed Computing
Pajé, an interactive visualization tool for tuning multi-threaded parallel applications

Parallel Computing
Monitoring parallel programs for performance tuning in cluster environments

Parallel program development for cluster computing
Visualizing the Performance of Parallel Programs

IEEE Software
Pajé: An Extensible Environment for Visualizing Multi-threaded Programs Executions

Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Java virtual machine profiler interface

IBM Systems Journal
JaViz: a client/server Java profiling tool

IBM Systems Journal
Jonathan: an open distributed processing environment in Java

Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing

Flexible performance visualization of parallel and distributed applications

Future Generation Computer Systems - Tools for program development and analysis
COSMOPEN: dynamic reverse engineering on a budget. How cheap observation techniques can be used to reconstruct complex multi-level behaviour

Software—Practice & Experience
Detection and analysis of resource usage anomalies in large distributed systems through multi-scale visualization

Concurrency and Computation: Practice & Experience

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a method to perform visualisations of the behaviour of distributed applications, for performance analysis and debugging. This method is applied to a Java distributed application. Application level traces are recorded without any modification of the monitored applications nor of the JVMs. Trace recording includes records from the JVM, through the JVMPI, and records from the OS, through the data structure associated to each process. Recorded traces are visualised post mortem, using the interactive Paj茅 visualisation tool, which can be conveniently specialised to visualise the dynamic behaviour of distributed Java applications. Applying this method to the execution of a book server, we were able to observe a situation where both the computation or the communications could be at the origin of a lack of performances. The observation helped finding the origin of the problem coming in this case from the computation.