A self-scalable distributed network simulation environment based on cloud computing

Abstract

While parameter sweep simulations can help undergraduate students and researchers to understand computer networks, their usage in the academia is hindered by the significant computational load they convey. This paper proposes DNSE3, a service oriented computer network simulator that, deployed in a cloud computing infrastructure, leverages its elasticity and pay-per-use features to compute parameter sweeps. The performance and cost of using this application is evaluated in several experiments applying different scalability policies, with results that meet the demands of users in educational institutions. Additionally, the usability of the application has been measured following industry standards with real students, yielding a very satisfactory user experience.

Toward Distributed Heterogeneous Simulation Using Internet of Things

“…Fujimoto et al have presented the overall advancements in PDES over the years and discussed the future directions as well as challenges in [34]. Serrano-Iglesias et al [35] propose DNSE3; a web-service oriented cloud-based network simulator taking benefit of the elasticity and scalability features. The main objective is to run complex large-scale simulations on the pay-per-use cost model.…”