摘要： 针对云数据中心环境下的数据副本丢失问题，提出2种服务质量感知的数据副本恢复算法。基于数据副本的分布情况，在考虑数据副本安全规则的前提下，对数据安全等级进行划分，给出分阶段数据副本恢复算法。在此基础上，依据数据冷热程度，建立数据副本稀有度模型，设计稀有度感知的分阶段数据副本恢复算法。实验结果表明，与直接数据副本恢复算法相比，所提出的算法可有效提高云数据中心的应用服务质量及数据安全保障能力。

关键词: 数据中心, 数据管理, 服务质量, 副本分布, 副本恢复, 安全规则

Abstract: To address the problem of data replica loss in cloud data center environment,two kinds of Quality of Service(QoS) aware data replica recovery algorithms are proposed.Based on the distribution of data replicas,it divides the data security level on the premise of considering the data replica security rules,and a phased data replica recovery algorithm is given.On this basis,according to how often the data is accessed or transited,the data replica rarity model is established to realize the rarity-aware phased data replica recovery algorithm.Experimental results show that compared with the direct data replica recovery algorithm,the proposed algorithms can effectively improve the application service quality and data security guarantee ability of the cloud data center.

Key words: data center, data management, Quality of Service(QoS), replica distribution, replica recovery, security rule

中图分类号: 

• TP393