Abstract
One of the most urgent issues in event tracing is the number of resulting event trace files pushing against the limits of today's parallel file systems. To address this issue, we present strategies for real-time event reduction, which guarantee that data of an event tracing measurement fits into a single memory buffer. Therefore, they are a key step towards a complete in-memory event tracing workflow enabling event trace analysis on very high scales without the limitations of today's parallel file systems. In addition, we define criteria to compare different reduction strategies and evaluate their benefits. Furthermore, we show how traditional memory buffering can be enhanced to realize these strategies with minimal overhead.
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