Abstract--Synergic collaboration and load balancing are important techniques for complex aircrafts system simulation. The synergic models included aerodynamic, atmospheric and engine control models are studied and categorized into two groups in this paper. Moreover, optimizing the dispatch strategy is an essential approach to manage the complex tasks of aircraft simulation. A fading memory strategy using least squares method is proposed to solve the information aging problem and the binary-tree hierarchical organization based on the periodical feature with the proposed strategy is adaptive for the aircraft simulation.Keywords-dynamic load balancing; migration strategy; aircraft simulation; real-time I INTRODUCTIONAircraft dynamics simulation is a complex nonlinear process whereby engine, aerodynamic and atmospheric models are solved simultaneously [1]. Optimizing the dispatch strategy is an essential approach to manage the complex tasks of aircraft simulation. To meet the real-time requirement demanded by interactive simulations, one of the scheduling strategies is balancing the load in the simulation execution and providing fault-tolerance capability [2].Load balancing is proposed for avoiding excessive resources consumption peaks in a simulation system, such as the system has the set of all computational simulation nodes and network components involved in an event. Several load balancing mechanisms have been proposed for a wide variety of distributed applications, which can be categorized into two groups: manual and dynamic load balancing. Manual load balancing is a front-loaded strategy where potential performance peaks are anticipated and the initial system is configured in a way that is hoped to produce minimal resource consumption peaks before the start of a simulation event. Therefore, the manual load balancing strategy is inexact and inefficient for highly simulation performance [3]. Dynamic load balancing techniques are required to Due to the logically model building process of aircraft simulation, the dynamic load balancing mechanism with federate migration strategy is fit for our research where entities and logical process are at the same space. This paper is focused on the load balancing strategies, aiming to improve the dynamic algorithm and apply to aircraft collaborative simulation. II COLLABORATIVE SIMULATION MODELThe design and development of complex aircraft systems involves multiple disciplines such as aerodynamic and atmospheric models and engine control, and the collaborative approach becomes an essential tool [7]. The synergic collaboration of multidisciplinary computational models involves the exchange of simulation data generated in parallel at runtime from the numerical integration processes of these models as shown in Figure 1 which can be divided into real-time and non real-time parts.As an essential technical approach to manage the complex synergic collaboration processes, the load balancing involves three aspects, load monitoring, migration policy and priority scheduling [8]. Load mo...