通信学报 ›› 2013, Vol. 34 ›› Issue (6): 92-101.doi: 10.3969/j.issn.1000-436X.2013.06.011

• 学术论文 • 上一篇    下一篇

新的基于云计算环境的数据容灾策略

项菲1,2,刘川意2,3,方滨兴1,2,王春露1,2,钟睿明1,2   

  1. 1 北京邮电大学 计算机学院,北京 100876
    2 北京邮电大学 可信分布式计算与服务教育部重点实验室,北京 100876
    3 北京邮电大学 软件学院,北京 100876
  • 出版日期:2013-06-25 发布日期:2017-07-20
  • 基金资助:
    国家自然科学基金资助项目

Novel “rich cloud” based data disaster recovery strategy

Fei XIANG1,2,Chuan-yi LIU2,3,Bin-xing FANG1,2,Chun-lu WANG1,2,GRui-ming ZHON1,2   

  1. 1 School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2 Key Laboratory of Trustworthy Distributed Computing and Service of the Ministry of Education of China, Beijing University of Posts and Telecommunications, Beijing 100876, China
    3 School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Online:2013-06-25 Published:2017-07-20
  • Supported by:
    The National Natural Science Foundation of China

摘要:

针对云提供商在保证数据可靠性的基础上,尽可能地降低自身的数据容灾成本这一需求,提出了一种基于“富云”的数据容灾策略——RCDDRS,该策略能够实现动态多目标调度,即在云提供商本身存储资源有限的情况下,合理地选择其他云提供商的资源储存数据备份,使得数据容灾成本尽可能的低且出现灾难后的恢复时间尽可能的短。仿真结果证明了该策略的可行性和有效性。

关键词: 云计算, 数据容灾, 可靠性, 3-Replicas, 动态多目标微粒群算法

Abstract:

Taking aim at the demand that on the basis of ensuring data reliability, the cloud provider wants to reduce its own data disaster recovery costs as much as possible, a method named RCDDRS (rich cloud based data disaster recovery strategy) was proposed, which can achieve a dynamic multi-objective schedulings. That means under the condition of the limited storage resources, the cloud provider chooses other cloud providers' resources to store data backup reasonably in order to lower the data disaster recovery costs and decrease the recovery time after the disaster. The simulation results show the feasibility and effectiveness of the proposed approach.

Key words: cloud computing, data disaster recovery, reliability, 3-Replicas

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