DIMVHCM: An On-line Distributed Monitoring Data Collection Model

In this work we present a hierarchical distributed data collection model for monitoring systems, called DIMVHCM. Its goal is to provide data for the on-line analysis of the behavior of distributed systems and applications. In our work we focus on analysis through visualization. We implemented a prototype of this model, which was integrated to the DIM Visual prototype and to the TRIVA visualization tool. This way, we obtained a prototype on-line monitoring tool. We measured the time needed to send monitoring data from its origin (a collector) to a client. We also evaluated the performance of the client. Last, we measured the performance overhead caused by DIMVHCM to the programs that compose the NAS Parallel Benchmarks. In this experiment we measured less than 5% intrusiveness from DIMVHCM. We also show that it can support the visual analysis of distributed systems behavior.