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The collection of monitoring data in distributed systems can serve many different purposes, such as system status monitoring, performance evaluation, and optimization. There are many well-established approaches for data collection and visualization in these areas. For objectives such as debugging complex distributed applications, in-depth analysis of malicious attacks, and forensic investigations, the joint analysis and visualization of a large variety of data gathered at different layers of the system is of great value. The utilization of heavy-weight monitoring techniques requires a cost-aware on-demand activation of such monitoring.We present an architecture for an interactive and cost-aware visualization of monitoring data combined from multiple sources in distributed systems. We introduce two distinguishing properties: the possibilities to reconfigure data collection and a cost prediction mechanism that supports the user in a cost-aware, dynamic activation of monitoring components in an interactive in-depth analysis. We illustrate the use of such cost prediction for monitoring using VMI-based mechanisms. |
