云存储中基于竞标模式的副本管理策略  

Data replication management strategy based on bidding mode for cloud storage cluster

作　　者：张鸿[1] 林兵[1] 刘漳辉[1,2] 

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

出　　处：《福州大学学报（自然科学版）》2015年第1期28-34,共7页Journal of Fuzhou University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61103175);福建省杰出青年基金资助项目(2014J06017);福建省自然科学基金资助项目(2014J01231)

摘　　要：为提高数据的可用性、减小程序的响应时间及保证负载均衡,提出带有竞标思想的副本管理策略.将竞标模式中的元素(如竞标时间,竞标底价,竞标价格等)运用到副本放置过程中,在副本放置过后优化副本的分布情况.当文件数据的可用性不能满足用户需求时,副本竞标活动开始.副本的放置考虑到副本集的地理分布差异性和分布疏密程度.当数据可用性达到用户需求时,策略开始进行副本的管理和优化操作.实验结果分析表明,该策略能改善云存储系统的负载平衡和响应时间等方面的性能,满足云存储环境的实际需求.To provide high availability,minimize the response time of applications and make load balancing for cloud storage,a new replica management policy with bidding thought is proposed. The policy combines the own characteristics of replica and factors of bidding mode（ e. g. bidding time,bidding standard,bidding price etc.） and after placing the replica the system begins to optimize and manage the distribution of copies. Replica bidding activity starts when the file data availability cannot meet the given requirement. The geographical diversity of replica set has been considered in the process of replica placement. When the data availability meet the user＇s needs,the system begin to manage the replica set. The experimental results show that our policy can improve the performance in both load balance and response time.

关 键 词：数据副本 竞标模式 云存储 负载均衡 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]