SPLASH Workshops 2020
2020 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH Workshops 2020)
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10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control (AGERE 2020), November 17, 2020, Virtual, USA

AGERE 2020 – Preliminary Table of Contents

Contents - Abstracts - Authors

10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control (AGERE 2020)


Title Page

Message from the Chairs
Welcome to the proceedings of the 10th International Workshop on Programming based on Actors, Agents, and Decentralized Control (AGERE!), co-located online with SPLASH 2020. AGERE!, an ACM SIGPLAN workshop, keeps on being a unique venue in the research landscape bringing together researchers and practitioners interested in actors, agents and, more generally, high-level paradigms emphasizing decentralized control in thinking, modeling, developing, and reasoning about software systems.


High-Throughput Stream Processing with Actors
Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, and Marco Danelutto
(University of Pisa, Italy)
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 2X) in high data rate streaming applications.

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Run, Agent, Run! Architecture and Benchmarking of Actor-Based Agents
Mostafa Mohajeriparizi, Giovanni Sileno, Tom van Engers, and Sander Klous
(University of Amsterdam, Netherlands)
The paper introduces an Agent-Oriented Programming (AOP) framework based on the Belief-Desire-Intention (BDI) model of agency. The novelty of this framework is in relying on the Actor model, instantiating each intentional agent as an autonomous micro-system run by actors. The working hypothesis behind this choice is that defining the agents via actors results in a more fine-grained modular architecture and that the execution of agent-oriented programs is enhanced (in scalability as well as in performance) by relying on robust implementations of Actor models such as Akka. The framework is benchmarked and analyzed quantitatively and qualitatively against three other AOP frameworks: Jason, ASTRA and Sarl.

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Revisiting the Network Stack in CAF
Jakob Otto, Raphael Hiesgen, Dominik Charousset, and Thomas Schmidt
(HAW Hamburg, Germany)

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