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MPLR 2019
Sun 20 - Fri 25 October 2019 Athens, Greece
co-located with SPLASH 2019
Tue 22 Oct 2019 14:30 - 15:00 at Room 1 - Applications Chair(s): Andrea Rosà

The actor model is popular for many types of server applications. Efficient snapshotting of applications is crucial in the deployment of pre-initialized applications or moving running applications to different machines, e.g for debugging purposes. A key issue is that snapshotting blocks all other operations. In modern latency-sensitive applications, stopping the application to persist its state needs to be avoided, because users may not tolerate the increased request latency. In order to minimize the impact of snapshotting on request latency, our approach persists the application’s state asynchronously by capturing partial heaps, completing snapshots step by step. Additionally, our solution is transparent and supports arbitrary object graphs. We prototyped our snapshotting approach on top of the Truffle/Graal platform and evaluated it with the Savina benchmarks and the Acme Air microservice application. When performing a snapshot every thousand Acme Air requests, the number of slow requests ( 0.007% of all requests) with latency above 100ms increases by 5.43%. Our Savina microbenchmark results detail how different utilization patterns impact snapshotting cost. To the best of our knowledge, this is the first system that enables asynchronous snapshotting of actor applications, i.e. without stop-the-world synchronization, and thereby minimizes the impact on latency. We thus believe it enables new deployment and debugging options for actor systems.

Tue 22 Oct

Displayed time zone: Beirut change

14:00 - 15:30
ApplicationsMPLR 2019 at Room 1
Chair(s): Andrea Rosà University of Lugano, Switzerland
Performance of an OO Compute Kernel on the JVM -- Revisiting Java as a Language for Scientific Computing Applications
MPLR 2019
Malin Källén Uppsala University, Tobias Wrigstad Uppsala University
Asynchronous Snapshots of Actor Systems for Latency-Sensitive Applications
MPLR 2019
Dominik Aumayr Johannes Kepler University Linz, Austria, Stefan Marr University of Kent, Elisa Gonzalez Boix Vrije Universiteit Brussel, Belgium, Hanspeter Mössenböck JKU Linz, Austria
DOI Pre-print