Computing applications such as metaheuristics-based optimization can greatly benefit from multi-core architectures available on modern supercomputers. In this paper, we describe an easy and efficient way to implement certain population-based algorithms (in the discussed case, multi-agent computing system) on such runtime environments. Our solution is based on an Erlang software library which implements dedicated parallel patterns. We provide technological details on our approach and discuss experimental results.

Abstract-The article presents an innovative method for assessing performance of modular SDN controllers, focusing on test customization. The method was validated by construction of a testing framework that gives its users the opportunity to emulate various network traffic patterns by using arbitrarily chosen applications, rather than simulating workloads. The presented solution is more comprehensive than others available in contemporary SDN environments also because it that takes into account specific features of modular SDN controllers.