Cloud simulation service correlation and resource scheduling system

Abstract

The invention discloses a cloud simulation service correlation and resource scheduling system. The system comprises an external service interface, a hardware layer, a software layer, an expansion interface and a control layer. The external service interface is used for receiving an externally input cloud simulation demand and feeding back a cloud simulation result, wherein the cloud simulation demand comprises selection information of a cloud simulation model and a calculation example. The hardware layer is used for providing hardware resources. The software layer is used for providing the cloud simulation model and a solver, wherein the cloud simulation model is used for providing a simulation model required for cloud simulation, and the solver is used for solving the simulation model. The expansion interface is used for accessing new hardware equipment or new software equipment. The control layer is used for selecting the corresponding cloud simulation model according to the selection information of the cloud simulation model and determining the required hardware resources according to the calculation example. The control layer is further used for feeding back the cloud simulation result through the external service interface. The system has the following advantages: software resources and the hardware resources can be expanded to improve the calculation capability of the system and increase the types and quantity of simulation models.

Description

technical field [0001] The invention relates to the technical field of cloud simulation, in particular to a cloud simulation service association and resource scheduling system. Background technique [0002] The new generation of aviation weapon engine improves the design characteristics of the engine by using model-based simulation methods, effectively reduces design iterations, improves design quality, and shortens the design cycle. Relying on cloud simulation technology, based on the concept of cloud computing, and integrating big data analysis methods, various resources (model resources, computing resources, storage resources, network resources, data resources, information resources, knowledge resources, software tool resources, semi Physical simulation equipment, etc.) on-demand sharing and reuse, dynamic optimization scheduling, realize multi-user model-based on-demand collaborative simulation applications, and support engine development and life cycle simulation verifi...

AI Technical Summary

Problems solved by technology

[0005] Resource allocation is inflexible, and each engineer who uses a professional model and solver needs to be equipped with high-end hardware equipment. However, the resource utilization rate of professional models and solvers varies greatly due to different tasks in terms of usage time and scale. Usually hardware resources cannot be fully utilized; in addition, if the computing resources are insufficient, better hardware devices need to be replaced to carry out work. This process is relatively cumbersome, and the operating system and software need to be reinstalled and tested, and the workload is heavy.

Resources cannot achieve horizontal elastic expansion

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