Abstract: The disclosed embodiments provide a system for processing data. During operation, the system generates, from a set of traces of an asynchronous workflow, a graph-based representation of the asynchronous workflow. Next, the system uses a set of causal relationships in the asynchronous workflow to update the graph-based representation. The system then analyzes the updated graph-based representation to identify a set of high-latency paths in the asynchronous workflow. Finally, the system uses the set of high-latency paths to output an execution profile for the asynchronous workflow, wherein the execution profile includes a subset of tasks associated with the high-latency paths in the asynchronous workflow.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of latencies for a set of requests in a multi-phase parallel task. Next, the system includes the latencies in a graph-based representation of the multi-phase parallel task. The system then analyzes the graph-based representation to identify a set of high-latency paths in the multi-phase parallel task. Finally, the system uses the set of high-latency paths to output an execution profile for the multi-phase parallel task, wherein the execution profile includes a subset of the requests associated with the high-latency paths.