Actor Profiling in Virtual Execution Environments
Nowadays, many virtual execution environments benefit from concurrency offered by the actor model. Unfortunately, while actors are used in many applications and computing frameworks, existing profiling tools are little effective in analyzing the performance of applications using actors. In this paper, we present a new instrumentation-based technique to profile actors in virtual execution environments. Our technique adopts platform-independent profiling metrics that minimize the perturbations induced by the instrumentation logic and allow comparing profiling results across different platforms. In particular, our technique measures the initialization cost, the amount of executed computations, and the messages sent and received by each actor. We implement our technique within a profiling tool for Akka actors on the Java platform. Evaluation results show that our profiling technique can help performance analysis of actor utilization and communication between actors in large-scale computing frameworks.
Mon 31 Oct
|13:30 - 14:00|
|14:00 - 14:30|
Gabriël KonatDelft University of Technology, Sebastian ErdwegDelft University of Technology, Netherlands, Eelco VisserDelft University of Technology, NetherlandsLink to publication DOI Pre-print Media Attached
|14:30 - 15:00|
Laure PhilipsSoftware Languages Lab, Joeri De KosterVrije Universiteit Brussel, Belgium, Wolfgang De MeuterVrije Universiteit Brussel, Belgium, Coen De RooverVrije Universiteit Brussel, BelgiumFile Attached