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云计算作为一种新的商业计算模型,提供了弹性计算和存储资源等服务.云计算具有超大规模、高可扩展性、高可靠性、虚拟化、按需服务和价格低廉等特点,许多用户把应用提交到云环境下运行.随着越来越多的数据密集型应用部署到云计算环境上运行,应用会有不同的QoS要求.为了保证在放置应用数据副本时,数据副本都能满足应用的QoS要求,我们需要考虑云计算环境下QoS约束的应用数据副本放置问题,为此提出一种QoS感知的副本放置算法(QoS-Aware Replica Placement with PSO,QRPPSO),该算法首先对QoS约束集的属性进行量化,然后构建目标优化模型,最后在副本放置优化算法引入粒子群优化来决定副本放置位置.仿真实验结果表明所提策略能有效解决QoS约束的应用数据副本放置问题.
As a new business computing model, cloud computing provides services such as flexible computing and storage resources.Cloud computing is characterized by its large scale, high scalability, high reliability, virtualization, on-demand services and low price, and many users Submit the application to run in the cloud environment.As more and more data-intensive applications are deployed to run on the cloud computing environment, the application will have different QoS requirements.In order to ensure the application data copy placed, the data can meet the copy We need to consider the application data copy placement problem under the QoS constraint in the cloud computing environment. To solve this problem, we propose a QoS aware replication placement algorithm (QoS-Aware Replica Placement with PSO, QRPPSO) Set the target optimization model, and finally put the optimization algorithm in the copy to introduce the particle swarm optimization to determine the copy placement position.The simulation results show that the proposed strategy can effectively solve the problem of application data copy placement under QoS constraints.