Towards benchmarking actor- and agent-based programming languages

R. C. Cardoso, M. R. Zatelli, J. F. Hübner, Rafael Heitor Bordini
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引用次数: 11

Abstract

Over the past few years there have been several advances in distributed systems, and more recently multi-core processors. Consequently, a natural need for concurrent and parallel programming languages arises. In this paper, we compare some aspects of two concurrency models, Actors and Agents, using benchmarks to evaluate: (i) the communication performance on a concurrency-heavy scenario; (ii) the performance in a scenario with the presence of bottleneck and synchronization problems; and (iii) the reactivity and fairness of the models. We chose Jason, 2APL, and GOAL as the agent-oriented programming languages and Erlang, Akka, and ActorFoundry as the actor-oriented programming languages. Overall, Erlang displayed the best performance of all languages used in this comparison, followed by ActorFoundry, Akka, Jason, 2APL, and GOAL, in this particular order.
对基于参与者和代理的编程语言进行基准测试
在过去的几年中,分布式系统和最近的多核处理器取得了一些进展。因此,自然出现了对并发和并行编程语言的需求。在本文中,我们比较了actor和agent两种并发模型的某些方面,使用基准来评估:(i)在并发性高的场景下的通信性能;(ii)在存在瓶颈和同步问题的情况下的性能;(三)模型的反应性和公平性。我们选择Jason、2APL和GOAL作为面向代理的编程语言,选择Erlang、Akka和ActorFoundry作为面向角色的编程语言。总的来说,Erlang在这个比较中显示了所有语言中最好的性能,其次是ActorFoundry、Akka、Jason、2APL和GOAL,按照这个特定的顺序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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