Monitoring distributed systems
ACM Transactions on Computer Systems (TOCS)
Techniques for efficient inline tracing on a shared-memory multiprocessor
SIGMETRICS '90 Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Address Tracing for Parallel Machines
Computer - Special issue on experimental research in computer architecture
Tracing application program execution on the Cray X-MP and Cray 2
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Introduction to artificial neural systems
Introduction to artificial neural systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Self-Organizing Maps
Tracing the execution of C++ programs
ACM SIGCSE Bulletin
The capture, characterization, and performance analysis of Macintosh traces
COMPCON '96 Proceedings of the 41st IEEE International Computer Conference
An Empirical Study of Tracing Techniques from a Failure Analysis Perspective
ISSRE '02 Proceedings of the 13th International Symposium on Software Reliability Engineering
Checkpointing and Its Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Detection of Heap Management Flaws in Component-Based Software
EUROMICRO '04 Proceedings of the 30th EUROMICRO Conference
Process Monitoring and Modeling Using the Self-Organizing Map
Integrated Computer-Aided Engineering
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As the complexity of component-based systems grows and their life cycles shorten, managing and understanding the dynamics and operation of the system at runtime becomes evermore difficult and at the same time more important. It is essential for system engineers to gain comprehensive understanding on not only the static but also the dynamic structure of the system. In this paper we suggest a novel approach for studying the dynamic structure of a component-based system using the Self-Organizing Map. We extract information about the communication traffic of the system into execution traces. These traces are then parsed and the communication traffic stored into a communication matrix. This matrix is used to construct a Self- Organizing Map to describe the dynamic communication structure of the system.