Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
Due to the increased usage of NAT boxes and firewalls, it has become harder for applications to establish direct connections seamlessly among two end-hosts. A recently, adopted proposal to mitigate this problem is to use relay nodes, end-hosts that act as intermediary points to bridge connections. Efficiently selecting a relay node is not a trivial problem, specially ill a large-scale unstructured overlay, system where end-hosts are heterogeneous.. In such environment, heterogeneity, among the relay nodes comes from the inherent differences in their capacities and from the way overlay networks are constructed. Despite this fact, good relay selection algorithms should effectively balance the aggregate load across the set of relay nodes. In this paper, we address this problem using algorithms based on the two, random choices method. We first prove that the classic load-based algorithm can effectively balance the load even when relays are heterogeneous, and that its performance depends directly on relay, heterogeneity. Second, we propose an utilization -based random choice algorithm to distribute load in order to balance relay, utilization. Numerical evaluations through simulations illustrate the effectiveness of this algorithm, indicating that it might also yield provable performance (which we conjecture). Finally, we support our theoretical findings through simulations of various large-scale scenarios, with realistic relay heterogeneity.