摘要
服务质量是衡量云资源动态分配性能的重要指标。论文考虑了用户对时间、成本、安全性和服务可靠性四种服务质量要求,并提出了一种基于服务质量的虚拟化云资源动态分配算法。该算法将蚁群算法与遗传算法相结合,先借助遗传算法为蚁群算法生成有效的初始信息素,利用四个服务质量指标定义适应度函数,最后通过蚁群算法寻找最佳资源。实验结果显示,该算法在服务质量保障和资源均衡等方面都具有较好的性能。
Quality of service is an important indicator to measure the performance of dynamic allocation of cloud resources.This paper considers the four quality of service requirements of users'time,cost,security and reliability,and proposes a virtualized cloud resource dynamic allocation algorithm based on quality of service.The algorithm integrates ant colony algorithm and genetic al-gorithm.Firstly,genetic algorithm is used to generate effective initial pheromone for ant colony algorithm,four service quality indi-cators are used to define fitness function,and finally,ant colony algorithm is used to find the best resources.Experimental results show that the algorithm has good performance in terms of service quality assurance and resource balance.
作者
李凯锋
胡泓
吴海燕
贺莉娜
胡宇
LI Kaifeng;HU Hong;WU Haiyan;HE Lina;HU Yu(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211000;NARI Technology Co.,Ltd.,Nanjing 211106;Beijing Metro Administration Corporation Limited,Beijing 100068)
出处
《计算机与数字工程》
2024年第1期121-125,共5页
Computer & Digital Engineering
关键词
云计算
服务质量
蚁群算法
资源分配
遗传算法
cloud computing
QoS
ant colony algorithm
resource allocation
genetic algorithm