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http://dx.doi.org/10.30693/SMJ.2018.7.4.30

Draft Design of AI Services through Concept Extension of Connected Data Architecture  

Cha, ByungRae (광주과학기술원 전기전자컴퓨터공학부)
Park, Sun (광주과학기술원 전기전자컴퓨터공학부)
Oh, Su-Yeol (목포대학교 컴퓨터공학과)
Kim, JongWon (광주과학기술원 전기전자컴퓨터공학부)
Publication Information
Smart Media Journal / v.7, no.4, 2018 , pp. 30-36 More about this Journal
Abstract
Single domain model like DataLake framework is in spotlight because it can improve data efficiency and process data smarter in big data environment, where large scaled business system generates huge amount of data. In particular, efficient operation of network, storage, and computing resources in logical single domain model is very important for physically partitioned multi-site data process. Based on the advantages of Data Lake framework, we define and extend the concept of Connected Data Architecture and functions of DataLake framework for integrating multiple sites in various domains and managing the lifecycle of data. Also, we propose the design of CDA-based AI service and utilization scenarios in various application domain.
Keywords
DataLak; Abyss Storage Cluster; Connected Data Architecture; AI Service;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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