High-Throughput Stream Processing with Actors
The steady growth of data volume produced as continuous streams makes paramount the development of software capable of providing timely results to the users. The Actor Model (AM) offers a high-level of abstraction suited for developing scalable message-passing applications. It allows the application developer to focus on the application logic moving the burden of implementing fast and reliable inter-Actors message-exchange to the implementation framework.
In this paper, by using the CAF framework as reference AM implementation, we focus on evaluating the model in high data rate streaming applications targeting scale-up servers. Our approach leverages Parallel Pattern (PP) abstractions to model streaming computations and introduces optimizations that otherwise could be challenging to implement without violating the AM’s semantics. The experimental analysis demonstrates that the new implementation skeletons we propose for our PPs can bring significant performance boosts (more than to 2x) in high data rate streaming applications.
Tue 17 Nov Times are displayed in time zone: Central Time (US & Canada) change
|05:00 - 05:10|
|05:10 - 05:40|
|High-Throughput Stream Processing with Actors|
Luca RinaldiUniversity of Pisa, Massimo TorquatiComputer Science Department - University of Pisa, Gabriele MencagliUniversity of Pisa, Italy, Marco DaneluttoUniversity of Pisa, ItalyPre-print Media Attached
|05:40 - 06:10|
|Revisiting the Network Stack in CAF|
Jakob OttoHAW Hamburg, Raphael HiesgenHAW Hamburg, Dominik CharoussetHAW Hamburg, Thomas C. SchmidtHAW HamburgDOI Pre-print
|06:10 - 06:40|
|Run, Agent, Run; Architecture and Benchmark of Actor-based Agents|
|06:40 - 06:50|