A method for planning and scheduling hla federation members

Abstract

The invention discloses an HLA federate planning and scheduling method. The method comprises the following steps: initially configuring the operational capability of each computational node, the quantity of computational nodes and the quantity of federate; obtaining a planning and scheduling scheme, and during the first simulation, distributing the federate to each computational node by an RTI server according to an average-quantity and random-type distribution manner; and during the simulation, recording the computation and memory resources consumed by each computational node, and judging whether the planning and scheduling scheme achieves the expected target or achieves the predetermined planning frequency by taking the occupation condition of the computation and memory resources consumed by each computational node as a scheduling basis. According to the method provided by the invention, the adjustment is carried out on the federate among the computational nodes and the simulation load of each computational node is balanced, so that the single simulation can be finished in a relatively short time and the system operation efficiency is optimized; particularly, when the computational nodes have performance differences, the federate efficiencies are different and the simulation scale is relatively large, the method has more remarkable effect.

Description

technical field [0001] The invention relates to an HLA-based distributed simulation method, in particular to an HLA federation member planning and dispatching method. Background technique [0002] HLA, short for High Level Architecture, is currently the mainstream standard for distributed simulation. In the HLA distributed simulation framework, a simulation system that completes a specific simulation task is called a federation, and the federation is composed of federation members distributed on different computers. [0003] The underlying support system for federation operation under the HLA system is RTI. There are generally two ways to realize RTI: first, use COBRA language programming, and second, use Socket directly. Because COBRA-based RTI uses local servers to be responsible for the management of local federation members and the coordination of external RTI services, unified management of underlying services, convenient application and high operating efficiency, it ...

AI Technical Summary

Problems solved by technology

[0017] In order to solve the problem of low system computing efficiency caused by the increase in the number of federated members in the prior art and the difficulty of accurately predicting model operation requirements under different experimental backgrounds, the present invention provides a method for planning and scheduling HLA federated members. Planning, finalize the distribution results, make full use of all computing nodes, realize the completion of a single simulation in the shortest time, and finally achieve the optimization of the operation status of the entire system

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