基于蚁群优化算法的云计算调度资源模型  

Cloud Computing Scheduling Resource Model Based on Ant Colony Optimization Algorithm

作　　者：王勃[1] 徐静[2] 孙雪莹 WANG Bo;XU JING;SUN Xueying(College of Computer Science and Software Engineering,Shaanxi Instaitute of Technology,Xi'an 710300;School of Economics and Management,Shaanxi Instaitute of Technology,Xi'an 710300;School of Physics and Optoelectronic Engineering,Xidian University,Xi'an 710071)

机构地区：[1]陕西国防工业职业技术学院计算机与软件学院,西安710300 [2]陕西国防工业职业技术学院经济管理学院,西安710300 [3]西安电子科技大学物理与光电工程学院,西安710071

出　　处：《计算机与数字工程》2020年第5期1009-1012,共4页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61575154)资助。

摘　　要：在云计算过程中,需要不断的大量调用计算机资源,过度调度资源就需要占用大量的存储,造成资源浪费,调度效率低下等问题。针对当前存在的问题,提出建立基于优化蚁群算法的云计算调度资源模型,该模型可以提供较为优化的云计算调度资源方法,解决过度调用资源等问题。该模型使用优化后的蚁群Matlab算法为蚁群计算寻找从出发点到终点最为便捷的道路,并最终实现云计算调度资源模型。通过仿真实验,可以得出该模型可以在最短时间实现在云计算中调用最为合适的资源,达到提高调度效率的作用。In the process of cloud computing,a large number of computer resources need to be constantly invoked.Excessive scheduling of resources requires a large amount of storage,resulting in resource waste,low scheduling efficiency and other problems.Aiming at the existing problems,a cloud computing scheduling resource model based on optimized ant colony algorithm is proposed,which can provide a more optimized cloud computing scheduling resource method and solve the problem of excessive resource invocation.This model uses the optimized ant colony algorithm to find the most convenient way from the starting point to the end point for ant colony computing,and finally realizes the cloud computing scheduling resource model.Through simulation experiments,it can be concluded that the model can call the most appropriate resources in the cloud computing in the shortest time to improve the scheduling efficiency.

关 键 词：蚁群优化算法 云计算 调度 资源 模型 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]