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      다국어 초록 (Multilingual Abstract)

      According to the evolving of IT technologies, the amount of data we are facing increasing exponentially. Thus, the technique for managing and analyzing these vast data that has emerged is a distributed processing system of big data. A quality evaluati...

      According to the evolving of IT technologies, the amount of data we are facing increasing exponentially. Thus, the technique for managing and analyzing these vast data that has emerged is a distributed processing system of big data. A quality evaluation for the existing distributed processing systems has been proceeded by the structured data environment. Thus, if we apply this to the evaluation of distributed processing systems of big data which has to focus on the analysis of the unstructured data, a precise quality assessment cannot be made. Therefore, a study of the quality evaluation model for the distributed processing systems is needed, which considers the environment of the analysis of big data. In this paper, we propose a new quality evaluation model by deriving the quality evaluation elements based on the ISO/IEC9126 which is the international standard on software quality, and defining metrics for validating the elements.

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      참고문헌 (Reference)

      1 이현진, "맵리듀스를 사용한 디컴바인드 분산 VQ 코드북 생성 방법" 한국디지털콘텐츠학회 15 (15): 365-371, 2014

      2 Enslow, P. H., "What is a Distributed Data Processing System?" 11 (11): 1978

      3 Stevens, W. R., "Unix Network Programming" Prentice-Hall 1990

      4 Eric A. Brewer, "Toward robust distributed systems" 2000

      5 Chang, M. S., "The Distributed Program Reliability Analysis on Star Topologies" 27 : 129-142, 2000

      6 IDC, "The Digital Universe Study"

      7 Hsieh, C., "Reliability and cost optimization in distributed computing systems" 30 (30): 1103-1119, 2003

      8 Chen, D. J., "Reliability Analysis of Distributed Systems Based on a Fast Reliability Algorithm" 3 (3): 139-154, 1992

      9 "ISO/IEC TR 9126-2. “Software Engineering-Product Quality-Part 2: Internal Metrics"

      10 "ISO/IEC 9126-1. “Software Engineering-Product Quality-Part 1: Quality Model"

      1 이현진, "맵리듀스를 사용한 디컴바인드 분산 VQ 코드북 생성 방법" 한국디지털콘텐츠학회 15 (15): 365-371, 2014

      2 Enslow, P. H., "What is a Distributed Data Processing System?" 11 (11): 1978

      3 Stevens, W. R., "Unix Network Programming" Prentice-Hall 1990

      4 Eric A. Brewer, "Toward robust distributed systems" 2000

      5 Chang, M. S., "The Distributed Program Reliability Analysis on Star Topologies" 27 : 129-142, 2000

      6 IDC, "The Digital Universe Study"

      7 Hsieh, C., "Reliability and cost optimization in distributed computing systems" 30 (30): 1103-1119, 2003

      8 Chen, D. J., "Reliability Analysis of Distributed Systems Based on a Fast Reliability Algorithm" 3 (3): 139-154, 1992

      9 "ISO/IEC TR 9126-2. “Software Engineering-Product Quality-Part 2: Internal Metrics"

      10 "ISO/IEC 9126-1. “Software Engineering-Product Quality-Part 1: Quality Model"

      11 Gartner, "Hype Cycle for Emerging Technologies 2011"

      12 Seo, "Hadoop & NoSQL for the massive data analysis and processing, pp.145, 365" Gilbut 2003

      13 Scherr, A. L., "Distributed Data Processing" 17 (17): 1978

      14 Amajad Umar, "Distributed Computing" Prentice-Hall 1993

      15 B. M. Im, "Development of A Storage System for Distributed Transaction Processing" 3-6, 1995

      16 The Economist, "Data, data everywhere"

      17 National Information Society Agency, "Data resource securing and Quality management plan in Big Data era" (5) : 2012

      18 Korea Database Promotion Center, "Data Quality Management Maturity Model(Ver. 1.0)"

      19 Daniel, J. Abadi, "Consistency Tradeoffs in Modern Distributed Database System Design" 2012

      20 Hesselgrave, M. R., "Consideration for Building Distributed Transaction Processing Systems on UNIX System V" 1990

      21 Mckinsey and Company, "Clouds, Big data and Smart assets: Ten tech-enabled business trends to watch"

      22 Mckinsey Global Institute, "Big Data: The next frontier for innovation, competition and productivity"

      23 Australian Government (Department of Finance and Deregulation), "Big Data Strategy – Issues Paper" 2013

      24 Dai, Y. S., "A study of service reliability and availability for distributed systems" 79 (79): 103-112, 2003

      25 C. H. Lee, "A Study of Distributed Data Processing System" 115-126, 1980

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2015-12-01 평가 등재후보로 하락 (기타) KCI등재후보
      2011-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2010-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보 1차 FAIL (등재후보2차) KCI등재후보
      2008-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2006-02-17 학회명변경 한글명 : 한국디지털컨텐츠학회 -> 한국디지털콘텐츠학회 KCI등재후보
      2006-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2005-09-21 학술지명변경 한글명 : 디지털컨텐츠학회논문지 -> 디지털콘텐츠학회논문지
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.35 0.35 0.38
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.39 0.37 0.636 0.12
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