Autonomous Configuration Scheme in a Distributed Load Balancing System for HLA-Based Simulations

As the scale of distributed simulations, such as HLA-base simulations, grow due to the complexity in modelling real systems, balancing systems become essential for enabling the execution of these simulations or preventing simulation performance loss. This loss is greatly produced by non-dedication or heterogeneity of resources in large-scale environments or by simulations that might generate dynamic load oscillations. In light of avoiding load imbalances in such conditions, a distributed balancing system has been developed. However, in order to enable load balancing systems to effectively and properly react to load imbalances, they need to be properly deployed and configured in environments where are occasionally unknown due to the lack of previous information about them or to the dynamic changes that might occur as time passes. As a result, an autonomous configuration scheme is proposed to increment the distributed balancing system and allow it to flexibly adapt to the environment where it is deployed. Experiments have been performed in defined scenarios in order to assess the benefit in incorporating such dynamic configuration solution on the balancing system.