| CDRS:云存储中一种代价驱动的自适应副本策略 |
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| 作者姓名： | 徐婧 杨寿保 王淑玲 刘晓茜 |
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| 作者单位： | 中国科学技术大学计算机科学与技术学院, 合肥 230026 |
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| 基金项目： | 国家自然科学基金(60673172);国家高技术研究发展计划(863)项目(2006AA01A110)和中国科学技术大学创新基金(KD0901110,KD0901109)资助 |
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| 摘 要： | 针对云存储环境下突出的一些新问题,如网络的广域性与动态性、商业利益的追求、一致性与可用性的权衡等,提出了一种代价驱动的自适应副本策略CDRS.该副本策略通过引入市场机制中的代价,综合考虑负载平衡及一致性与可用性的均衡,对副本进行自适应的操作,达到最小化副本开销和最大化副本收益的目标.实验结果表明,与传统的副本策略相比,该策略在副本收益以及负载均衡方面有着更大的优势.
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| 关 键 词： | 代价驱动 地理特性 自适应 云存储 |
| 收稿时间： | 2010-11-02 |
| 修稿时间： | 2010-12-27 |
CDRS:an adaptive cost-driven replication strategy in cloud storage |
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| Authors: | XU Jing YANG Shou-Bao WANG Shu-Ling LIU Xiao-Qian |
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| Institution: | School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China |
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| Abstract: | Considering the new problems in cloud storage environment, such as wide location, dynamic characteristic, pursuit of commercial interests, and trade-off between consistency and availability, we propose a dynamic cost-driven replication strategy (CDRS). By introducing cost in market mechanism and considering load balancing and the trade-off between consistency and availability comprehensively, this strategy operates adaptively on replication and achieves the goal of minimizing replication cost and maximizing replication profit. The experimental results show that CDRS has a better performance in both replication profit and load balancing. |
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| Keywords: | cost-driven geographic feature adaptive cloud storage |
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