Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data

Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The complexity appears because of the event correlation among processes, external influences like time-sharing mechanisms and saturation of network links, and also the amount of data that registers the application behavior. Almost all visualization tools to analysis of parallel applications offer a space-time representation of the application behavior. This traditional way of showing timestamp-based information presents the monitoring data with a gantt-chart based representation. This paper presents a novel technique that combine traces from grid applications with a treemap visualization of the data. With this combination, we dynamically create an annotated hierarchical structure that represents the application behavior for the selected time interval. The experiments in the grid show that we can readily use our tech...

• Type: Conference
• Year: 2009
• Where: CCGRID
• Authors: Lucas Mello Schnorr, Guillaume Huard, Philippe Olivier Alexandre Navaux
• Keywords: Application Behavior, CCGRID 2009, Cluster Computing, Large-scale Parallel Applications, Parallel Applications