Simulation resource dispatching method based on improved genetic algorithm

An improved genetic algorithm and resource scheduling technology, which is applied in the field of simulation resource scheduling, can solve problems such as system versatility optimization, and achieve the effects of improving throughput, good scheduling scheme, and strong global search ability

Inactive Publication Date: 2017-11-07
BEIJING SIMULATION CENT
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Problems solved by technology

At present, there are many task scheduling systems and algorithms, but none of them are professional scheduling systems designed for high-performance and high-throughput simulation. The generality of the system cannot be optimized specifically for the characteristics of simulation applications. A simulation application-oriented task scheduling method on a high-performance high-throughput computing system to maximize the performance and overall throughput of simulation applications

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  • Simulation resource dispatching method based on improved genetic algorithm
  • Simulation resource dispatching method based on improved genetic algorithm

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[0048] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0049] Task scheduling in simulation can be specifically expressed as an on-demand mapping problem between simulation models and system resources under multiple constraints, that is, to realize static resource allocation in the initial stage of simulation application operation. There are three types of factors that affect the scheduling of simulation tasks: constraints between models, time factors such as model running time, and communication delays between resources. The use of genetic algorithm to solve the simulation sc...

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Abstract

The invention discloses a method for scheduling simulation resources based on an improved genetic algorithm. The method includes: S1: initializing and generating a population of simulation models and simulation resources; S2: calculating the individual fitness value of each individual in the population based on a fitness function; S3: Perform crossover operation on the population based on the single-point crossover method; S4: Perform mutation operation on the population based on the adaptive mutation probability; S5: Use the selection operator based on the cumulative probability improvement to select the population; S6: Repeat S1-S5 , and end after reaching the predetermined number of steps. The present invention optimizes the scheduling of simulation resources based on the genetic algorithm, improves the scheduling efficiency of high-throughput simulation resources, and improves the execution efficiency of simulation tasks and the throughput of the simulation system.

Description

technical field [0001] The invention relates to the field of simulation resource scheduling. More specifically, it relates to a simulation resource scheduling method based on an improved genetic algorithm. Background technique [0002] Since high-performance and high-throughput simulation applications have the characteristics of multi-user and high concurrency, when multiple simulation tasks compete for limited system resources, efficient task and resource scheduling methods can greatly improve system throughput. At present, there are many task scheduling systems and algorithms, but none of them are professional scheduling systems designed for high-performance and high-throughput simulation. The generality of the system cannot be optimized specifically for the characteristics of simulation applications. A simulation application-oriented task scheduling method on a high-performance high-throughput computing system maximizes the performance and overall throughput of simulatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F3/12
CPCG06F9/5038G06F3/126
Inventor 张晗梅铮卿杜政徐筠
Owner BEIJING SIMULATION CENT
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