CAJ | 학술논문

为了提高云计算任务调度的效率，采用改进的SFLA算法实现任务调度。本文先对云计算任务调度原则和调度策略进行了分析，接着对SFLA算法基本原理及数学模型进行了详述，并提出了智能群体算法和自适应SFLA混合的改进SFLA算法，最后运用实例仿真验证该算法在云计算调度中的性能，与传统SFLA算法比较，改进算法在云计算调度中具有更快收敛性和更高精确性，具有一定的研究价值。
위료제고운계산임무조도적효솔，채용개진적SFLA산법실현임무조도。본문선대운계산임무조도원칙화조도책략진행료분석，접착대SFLA산법기본원리급수학모형진행료상술，병제출료지능군체산법화자괄응SFLA혼합적개진SFLA산법，최후운용실례방진험증해산법재운계산조도중적성능，여전통SFLA산법비교，개진산법재운계산조도중구유경쾌수렴성화경고정학성，구유일정적연구개치。
In order to improve the efficiency of cloud computing task scheduling, the paper uses improved SFLA algorithm to realize task scheduling. The paper first analyzes the cloud computing task scheduling principle and scheduling strategy, and then discusses in detail the basic principle and mathematical model of SFLA algorithm, and puts forward the intelligent group algorithm and adaptive SFLA mixed improved SFLA algorithm, finally using the instance simulation to verify the per-formance in cloud computing scheduling of the algorithm, compared with traditional SFLA algorithm, the improved algo-rithm has faster convergence and higher precision in cloud computing scheduling, which has a certain research value.