A Markov Decision Process Approach for Optimal Data Backup Scheduling
A Markov Decision Process Approach for Optimal Data Backup Scheduling
复制标题
最优数据备份调度的马尔可夫决策过程方法
DOI：
10.1109/dsn.2014.100
复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
Kishor S. Trivedi
中科院分区：
文献类型：
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作者：
Ruofan Xia;F. Machida;Kishor S. Trivedi
数据生成的爆炸性增长和业务分析对海量数据的日益依赖使得数据丢失的破坏性比以往任何时候都要大。如今，许多组织开始依赖云服务来保存有价值的数据。如何安全有效地保护个人用户的数据是云服务提供商面临的关键问题。为了保护具有多个数据源的系统中的数据，备份计划对于实现所需级别的数据保护，同时将对系统运行的影响降至最低起着重要作用。本文研究了马尔可夫决策过程(MDP)用于指导数据备份操作的调度，并提出了一个根据系统规范和数据保护需求自动生成MDP实例的框架。然后，我们将演示MDP方法的好处。
The explosive growth of data generation and increasing reliance of business analysis on massive data make data loss more damaging than ever before. Nowadays many organizations start relying on cloud services for keeping their valuable data. It is a critical issue for cloud service provider to protect the data for individual users securely and effectively. To protect the data in a system with multiple data sources, backup schedule plays an important role for achieving the desired level of data protection while minimizing the impact on system operation. In this paper we investigate the use of Markov Decision Process (MDP) to guide the scheduling of data backup operation and propose a framework to automatically generate an MDP instance from system specifications and data protection requirements. We then demonstrate the benefits of the MDP approach.