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Ooi Beng Chin 黄铭钧

Databases, Machine Learning and Systems

 
 
 

日志

 
 

CIIDAA: Comprehensive IT Infrastructure for Data-intensive Applications and Analysis  

2013-09-18 18:00:36|  分类: 默认分类 |  标签: |举报 |字号 订阅

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CIIDAA [1] is a large scale system project that was initiated late last year --  the project has six research fellows, six research assistants, and eight graduate students working with some 15 faculty members (including visiting professors) from various research areas, such as system performance, architecture, security, programming language, software engineering, database and data analytics. The goal of the project is to implement a next generation distributed data intensive application and analysis platform that is scalable, robust, and easy to use [2].  We are focusing on business analytics and healthcare analytics, predictive and contextual, to drive the initial design of the system, and are working with the users. In the system, we have embedded a major component of crowdsourcing framework, as a mechanism to improve the analytics. We aim to provide a generic platform eventually where different cartridges could be plugged into the system for supporting different applications.  Below is the architecture that we based on epiC.

 

CIIDAA: Comprehensive IT Infrastructure for Data-intensive Applications and Analysis - 黄铭钧  - Ooi Beng Chin   黄铭钧

 

Figure 1.  CIIDAA Software Stack


References:

[1] CIIDAA:  www.comp.nus.edu.sg/~ciidaa

[2] G. Chen, H.V. Jagadish, D. Jiang, D. Maier, B.C. Ooi, K.L. Tan, W.C. Tan: Federation in Cloud Data Management: Challenges and Opportunities. IEEE Transactions on Knowledge and Data Engineering, 2014.

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