An Automatic Cloud Service Platform for Learning from Large-Scale Data

被引：0
|
作者：
Xiong, Li [1 ]
Tong, Hengqing [2 ]
机构：
[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Hubei, Peoples R China
[2] Wuhan Univ Technol, Dept Math, Wuhan 430070, Hubei, Peoples R China
来源：
RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4 | 2013年 / 734-737卷
基金：
中国国家自然科学基金;
关键词：
Cloud Service; Event-driven; Context data; Domain Data; Algorithm Enhancement;
D O I：
10.4028/www.scientific.net/AMR.734-737.3085
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper we propose an automatic cloud service platform for learning from large-scale data. Firstly, we design an event-driven mechanism for controlling data service delivery automatically and intelligently in order to guarantee end-to-end service quality and efficiency. Then a data management platform is provided to collect, process and storage batch data and real-time data. Furthermore, we suggest a method of enhancing algorithm for learning from large-scale data, analyze learning process, and elaborate that algorithm performance can be enhanced constantly along with growth of data set.
引用
收藏
页码：3085 / +
页数：2
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