摘要
为了降低由于资源分配不合理带来的开销,笔者提出云计算环境下数据库多属性资源分配方法。该方法采用D3算法,以资源属性特征为基础,对资源属性进行划分,建立资源分配框架,以用户请求为基础,在用户、数据库、云计算基础设施之间形成对应属性资源的分配方案,并建立数据库资源分配模型,以成本目标控制资源分配比例,最终采用粒子群优化算法,通过分配适应度函数对分配结果进行优化。测试结果表明,该方法在不同平均备选逻辑服务数量和组件服务数量下,最小资源成本均保持较低水平,且时间开销基本在5 s以内,具有良好的分配效果。
In order to reduce the cost caused by unreasonable resource allocation,the author proposes a database multi-attribute resource allocation method in a cloud computing environment.This method uses the D3 algorithm to divide resource attributes based on resource attribute characteristics,establish a resource allocation framework,and form a corresponding attribute resource allocation plan between users,databases,and cloud computing infrastructure based on user requests,and Establish a database resource allocation model to control the resource allocation ratio with cost targets,and finally use particle swarm optimization algorithm to optimize the allocation results through the allocation fitness function.The test results show that the minimum resource cost of this method is kept low under different average number of candidate logical services and component services,and the time cost is basically within 5 s,which has a good distribution effect.
作者
李仕祺
谢元瑰
LI Shiqi;XIE Yuangui(Hunan Automotive Engineering Vocational College,Zhuzhou Hunan 412001,China;Hunan Vocational College of Railway Technology,Zhuzhou Hunan 412006,China)
出处
《信息与电脑》
2021年第8期186-188,共3页
Information & Computer
基金
湖南省教育科学“十三五”规划2020年度课题“信息化促进高职院校内部治理现代化的研究”(项目编号:JD207483)。
关键词
云计算
数据库
资源分配
适应度
cloud computing
database
resource allocation
fitness
作者简介
李仕祺(1987-),女,湖南澧县人,硕士研究生,助教。研究方向:计算机软件。
