Area of Interest Management by Grid-Based Discrete Aura Approximations for Distributed Virtual Environments

Juan E. JaramilloLina EscobarHelmuth Trefftz

We propose a communication's architecture for scaling distributed environments, aimed at minimizing the number of required multicast groups. The fundamental idea is to approximate the area-of-interest of entities, which ideally would be round, with hexagonal cells, and then associate multicast groups to the cells only when necessary - i.e. when the discrete auras of two or more entities intersect. We meet the goal of minimizing the number of required multicast groups by taking advantage of free processing capacity of the participating entities' hosts, and provide a novel load-balancing mechanism that prevents the hosts' processing capacity from being exceeded.

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