Journal of Information and Management
Online ISSN : 2189-9681
Print ISSN : 1882-2614
ISSN-L : 1882-2614
Study on High Efficient Big Data Acquisition by Using Dynamic Configuration of Network
Yasushi Nagasaka
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JOURNAL OPEN ACCESS

2016 Volume 36 Issue 4 Pages 29-35

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Abstract
There are a lot of data all over the world. They are usually gathered by using the Internet. But the Internet is a best-effort type network. The data like a sensor data from lots of points have to be gather to one computer to analyze. This many-to-one traffic causes network congestion and makes the efficiency of the system decrease. We propose two methods of the big data acquisition method by using dynamic configuration of network. Two methods, i.e., GroupTable method and OFC method, are developed with using SDN, software defined networking. As the result of performance test, we concluded the system worked well as we expected and the GroupTable method is efficient for the big data acquisition system.
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© 2016 Japan Society for Information and Management
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