Resource configuration method for collaborative simulation mode of cloud simulation

Abstract

The invention discloses a resource configuration method for a collaborative simulation mode of cloud simulation. The method comprises the steps of determining a plurality of physical machines which can be used for configuring virtual machines and a plurality of to-be-configured virtual machines; adjusting a configuration sequence of the virtual machines according to resource conditions of the virtual machines; and configuring the virtual machines sequentially according to the configuration sequence, wherein each virtual machine is configured on one physical machine. According to the method, the resource configuration mode of the cloud simulation is optimized, and the waste of simulation resources is reduced, so that the utilization rate of the simulation resources is increased, and the quantity of simulation tasks which can be processed in parallel by a cloud simulation system is increased.

Description

technical field [0001] The invention relates to the technical field of co-simulation mode resource configuration. More specifically, it relates to a resource allocation method in a cloud simulation co-simulation mode. Background technique [0002] Co-simulation aims to complete the simulation operation of the complex system by coordinating and influencing each other among the subsystems and models composed of the complex system after fine-grained modeling according to the disciplines and fields involved. Co-simulation requires a corresponding simulation environment to support the operation. The supporting environment includes computing nodes required for simulation, simulation engineering software, hardware-in-the-loop simulation resources, model resources, and simulation support software (RTI), etc., which are collectively referred to as simulation resources. [0003] The co-simulation mode of cloud simulation uses the concept of "cloud computing" to "cloudify" the simulat...

AI Technical Summary

Problems solved by technology

[0004] In order to meet the simulation needs of increasingly complex systems, high-performance computers are usually used as the hardware environment to form a cloud resource pool. If the physical nodes of high-performance computers are provided to simulation users, the number of nodes is small and the number of simulation users supported is extremely limited.

At the same time, high-performance computing nodes have powerful computing and communication capabilities. If a node is used by a simulation user, it will be difficult to give full play to its capabilities, which is a great waste of high-performance computer resources. In addition, the energy consumption of high-performance computer resources is very high. High, if each node runs at full speed, it will cause excessive energy consumption, and high-performance computers will also increase the risk of hardware damage if they work continuously for a long time

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