한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권8호
  • /
  • Pages.934-941
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  • 2018
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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HL7 FHIR 기반 의료 데이터 처리 시스템에서 YCSB를 통한 RDBMS와 MongoDB의 성능 분석 연구

Performance Analysis of RDBMS and MongoDB through YCSB in Medical Data Processing System Based HL7 FHIR

  • 투고 : 2018.07.12
  • 심사 : 2018.07.20
  • 발행 : 2018.08.31
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초록

There are some limits on cost and efficiency for large amount of data in RDBMS, and NoSQL is starting to gain popularity. In medical institutions, data forms are different between organizations, and that makes difficulty for interoperability between organizations. In this paper we focused on performance issues between RDMBS and NoSQL in medical documents. We had built two different environment and had experiment comparative analysis of NoSQL with RDBMS based on medical data. We used medical HL7 FHIR as a medical data standard. Also YCSB benchmark tool was used for performance comparison. Experiments shows that NoSQL has better performance in large amounts of medical data processing systems that have over 10,000~100,000 records.

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참고문헌

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피인용 문헌

  1. 개인 건강 정보 처리를 위한 배치 어플리케이션에서 데이터 질의 속도 향상을 위한 PHDItemReader 설계 및 구현 vol.23, pp.12, 2018, https://doi.org/10.9717/kmms.2020.23.12.1496