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http://dx.doi.org/10.6109/jkiice.2015.19.11.2629

Design of Log Management System based on Document Database for Big Data Management  

Ryu, Chang-ju (Department of Information and Communication Engineering, Chosun University)
Han, Myeong-ho (Department of Information and Communication Engineering, Chosun University)
Han, Seung-jo (Department of Information and Communication Engineering, Chosun University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.11, 2015 , pp. 2629-2636 More about this Journal
Abstract
Recently Big Data management have a rapid increases interest in IT field, much research conducting to solve a problem of real-time processing to Big Data. Lots of resources are required for the ability to store data in real-time over the network but there is the problem of introducing an analyzing system due to aspect of high cost. Need of redesign of the system for low cost and high efficiency had been increasing to solve the problem. In this paper, the document type of database, MongoDB, is used for design a log management system based a document type of database, that is good at big data managing. The suggested log management system is more efficient than other method on log collection and processing, and it is strong on data forgery through the performance evaluation.
Keywords
Log management; Database; MongoDB; Log4j;
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