云存储环境下QoS感知的副本放置算法  

QoS-aware Replica Placement Algorithm in Cloud Storage Environment

作　　者：张鸿[1] 刘漳辉[1,2] 林兵[1] 

机构地区：[1]福州大学数学与计算机科学学院,福州350116 [2]福建省网络计算与智能信息处理重点实验室,福州350116

出　　处：《小型微型计算机系统》2016年第9期1915-1919,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61103175)资助;福建省高校杰出青年科学基金项目(JA12016)资助;福建省新世纪优秀人才支持计划项目(JA13021)资助;福建省杰出青年科学基金项目(2014J06017)资助;福建省自然科学基金项目(2014J01231)资助

摘　　要：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.Cloud computing provides scalable computing and storage resources via the internet as a new business model. Cloud compu- ting is characteristic with large-scale, high scalability, high reliability, virtualization, on-demand service and lower price. Most users put the applications run on the cloud computing. More and more data-intensive applications are developed in this computing environment. Different applications have different quality-of-service （ QoS） requirements. In order to meet the QoS requirements of an application while replacing the data replica, We should consider the QoS-aware application data replication （ QADR ） placing problem in cloud computing environments. This paper proposes the QoS-Aware replica placement algorithm with PSO. This algorithm quantizes attrib- utes of the QoS constraints firstly, and then builds the optimization model. Finally the QoS-Aware replica placement algorithms decides the replica placement. The simulation results show that the proposed strategy can solve the data replica placing problem with QoS con- straints effectively.

关 键 词：副本放置 QOS约束 粒子群算法 云计算 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]