基于IFWA-ABC的云计算资源任务调度算法的研究

针对云计算资源任务调度效率低，资源分配不均的情况，将改进的烟花算法和人工蜂群算法算法进行融合为IFWA-ABC。首先，对云计算资源任务调度进行描述；其次，在FWA初始化中采用混沌反向学习和柯西分布进行优化，对核心烟花和非核心烟花的半径分别进行优化，将FWA中最优个体通过改进的ABC算法进行获得；最后，将IFWA-ABC算法用于云计算任务调度。仿真实验中，通过与FWA、ABC在虚拟机、执行时间、消耗成本、能量消耗指标对比中，IFWA-ABC具有明显的优势能够有效地提高云计算资源分配效率。

Cloud computing task scheduling algorithm based on IFWA-ABC

Due to the low efficiency of cloud computing resource task scheduling and uneven resource allocation, this paper combined the improved fireworks algorithm and artificial bee colony algorithm into IFWA-ABC. Firstly, this paper described the cloud computing resource task scheduling. Secondly, it used the chaotic reverse learning and Cauchy distribution to optimize the FWA initialization. It optimized the radii of the core fireworks and the non-core fireworks respectively. It obtained the optimal individuals in the FWA by improving the ABC algorithm. Finally, it used the IFWA-ABC algorithm for cloud computing task scheduling. In the simulation experiment, IFWA-ABC has obvious advantages compared with FWA and ABC in terms of virtual machine, execution time, consumption cost and energy consumption index, which can effectively improve cloud computing resource allocation efficiency.