| 大数据的长期归档存储研究 |
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| 引用本文： | 胡燕平,胡冰.大数据的长期归档存储研究[J].南京邮电大学学报(自然科学版),2014(4):33-38. |
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| 作者姓名： | 胡燕平 胡冰 |
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| 作者单位： | 南京邮电大学宽带无线通信与传感网技术教育部重点实验室,江苏南京210003 |
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| 基金项目： | 国家自然科学基金（60973140,61170276,61373135）、江苏省产学研项目（BY2013011）、江苏省科技型企业创新基金（BC2013027）和江苏省高校自然科学研究重大项目（12KJA520003）资助项目 |
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| 摘 要： | 应对大数据的长期存储需求,对基于COTS的归档系统进行改进,采用云计算技术扩展系统对跨数据中心存储的支持,SVM和本体方法对归档数据的存取进行分类以提高数据访问存取效率,采用非固定单元的检错次序检错,调整多错误区域的条带以优化RAID系统的磁盘检错策略.
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| 关 键 词： | 归档 云数据库 大数据 条带 |
Archive Storage for Long-Term Storage of Big Data |
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| HU Yan-ping,HU Bing.Archive Storage for Long-Term Storage of Big Data[J].Journal of Nanjing University of Posts and Telecommunications,2014(4):33-38. |
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| Authors: | HU Yan-ping HU Bing |
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| Institution: | (Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education,Nanjing University of Posts and Telecommunications, Nanjing 210003, China) |
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| Abstract: | Coping with the needs of long term archive storage for big data storage,an archive system based on COTS is improved with applying cloud computing technology to extend the system to support multiple data center storage.SVM and ontology methods are used to classify access to improve the speeds of access processing.Segments are detected without fixed and exchanging regions happened to be detected on one stripe to optimize detection strategy of disk error in the RAID system. |
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| Keywords: | archive could database big data stripe |
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