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http://dx.doi.org/10.14400/JDC.2014.12.5.1

A Study on ALTIBASETM LOG ANALYZER method for highly scalable, high-availability  

Yang, Hyeong-Sik (Dept. of Fusion Engineering, Graduate School of Venture, Hoseo University)
Kim, Sun-Bae (Dept. of Information Management, Graduate School of Venture, Hoseo University)
Publication Information
Journal of Digital Convergence / v.12, no.5, 2014 , pp. 1-12 More about this Journal
Abstract
Recently, the need for non-stop service is increasing by the business mission-critical Internet banking, e-payment, e-commerce, home shopping, securities trading, and petition business increases, clustered in a single database of existing, redundant research on high-availability technologies related to technique, etc. is increasing. It provides an API based on the Active Log in addition to the technique of redundancy, ALTIBASE$^{TM}$ Log Analyzer (below, ALA), provides scalability and communication of the same model or between heterogeneous. In this paper, we evaluated the performance of ALA by presenting the design of the database system that you can use the ALA, to satisfy all the synchronization features high scalability and high availability, real-time.
Keywords
Distributed database; Clustering; Replication; High availability; High scalability;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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