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| News |
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- TaijiDB can support file storage now! (2010/05/11)
- System monitor added to CloudDB (2010/04/20)
- First release of source code! (2010/03/31)
- Overall system architecture design of cloud storage is finished! (2010/02/28)
- Investigation of cloud storage infrastructure is finished! (2010/01/31)
- Cloud computing and WAMDM (Chinese) (2008/12/26)
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| System |
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| Technology advances in communications, computation, and storage result in huge collections of data, capturing information of value to business, science, government, and society. Data volumes are currently growing faster than Moore’s law. Looking forward, the exponential growth is not likely to stop. The huge size of data is imposing big challenges on infrastructure for data storage which can achieve economical scaling to even more than Petabyte, massively parallel query execution, and facilities for analytical processing. Meanwhile, the rise of large data centers and cluster computers has created a new business model, cloud-based computing, where businesses and individuals can rent storage and computing capacity, rather than making the large capital investments needed to construct and provision large-scale computer installations. Cloud-based data storage and management is a rapidly expanding business. We design Cloud-based Database System, which is a data management solution built to support the next generation of information management and large-scale analytics processing. This project aims at researching new database system which can handle the next generation big data application and applied various areas, like medicine/healthcare, mobile communications etc.Here is an overview on the
architecture of CloudDB. [More...] |
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| Background |
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| With the development of computer and communication technology, a large scale of data is produced. For example, in the industry of mobile communication, a great number of data items are produced every day, how to efficiently store and analyze these data becomes a challenging technical problem. The traditional techniques on data management fail to work well in these scenarios. To fit the requirements, a new platform Cloud Computing provides flexible and scalable services to users by building large computing centers. How to efficiently manage such large scale data based on cloud-platform becomes a key problem. This project focuses on tackling some key technologies on cloud-based data management. |
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| Features |
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As a native cloud-based database system,TaijiDB has the following features:
- Dural-Core:Hadoop/HBase(Master-Slave) + Cassandra(P2P)
- Support SQL
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| Publication |
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- X. Zhang, Z. Wang, J. Ai, J. Lu, X. Meng: An Efficient Multi-Dimensional Index for Cloud Data Management. Accepted for publication in the proceedings of the CIKM Workshop on Cloud Data Management(CloudDB2009), November 2, 2009, Hong Kong, China. (full paper)
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| Download |
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| coming soon! |
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The CloudDB Team |
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Faculty
Xiaofeng Meng (xfmeng AT ruc.edu.cn)
Yunpeng Chai (ypchai AT ruc.edu.cn)
Jiaheng Lu (jiahenglu AT gmail.com)
Ph.D.
Yingjie Shi (Second year) (shiyingjie1983 AT yahoo.com.cn)
Master
Zhongyuan Wang (Graduated and working for MSRA) (zhywangchina AT 163.com)
Jing Zhao (Third year, job hunting) (zmfeiyinggtxy AT 163.com)
Xiangmei Hu (Third year, job hunting) (huxiangmei2004 AT 126.com)
Bingbing Liu (Second year) (liubingbing AT ruc.edu.cn)
Haiping Wang (Second year) (lulang1022 AT yahoo.com.cn)
Undergraduate Student
Xu Han
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