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Big Data Processing with MapReduce for E-Book

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJMUE) 바로가기
  • 간행물
    International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
  • 통권
    Vol.8 No1 (2013.01)바로가기
  • 페이지
    pp.151-162
  • 저자
    Tae Ho Hong, Chang Ho Yun, Jong Won Park, Hak Geon Lee, Hae Sun Jung, Yong Woo Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A202244

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원문정보

초록

영어
Evolution of IT and computer has made e-books popular day by day. In this paper, we are interested in searching a word in e-books. However, it is impossible to search a word in digitized e-books if they consist of image files such as JPG and PDF. Our solution to this problem is to transform the image file based e-books into text files based e-books to enable searching a word in e-books. We use EPUB, a XML-based text file, which is defined by IDPF(International Digital Publishing Forum). That is, we convert the image file based e-books into EPUB format e-books, so that searching a word in e-books can be done without any problem. The converting job should deal with very big data usually and require a lot of computing power. If we do the conversion in an usual personal computer, it would take a lot of processing time or it might be impossible for us to complete it. We used MapReduce model with a cluster system which enables us to perform the conversion successfully and reduce the processing time. This paper presents our Hadoop-based e-book Conversion System which is a distributed computing framework to transform the image based e-books into EPUB format e-books. Our experimental system consists of up to 15 cluster nodes. This paper evaluates the performance of the experimental system which processes the conversion of up to 2TB(Terra Byte) image files into EPUB files with a 15 nodes cluster system. We analyzed the processing time when the number of nodes in the cluster system was varied. We also analyzed the improvement effect when the dpi of the image file was varied. The performance evaluation confirmed us that the Hadoop-based e-book Conversion System successfully processed the big data for e-book.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The E-book Conversion System
  3.1. Architecture
  3.2. Operation
 4. Performance Evaluation
  4.1. An Experimental Setup
  4.2. Performance
 5. Conclusion
 Acknowledgements
 References

저자

  • Tae Ho Hong [ The University of Seoul, Seoul, South of Korea ]
  • Chang Ho Yun [ The Ubiquitous (Smart) City Consortium, The University of Seoul, Seoul, South of Korea ]
  • Jong Won Park [ The University of Seoul, Seoul, South of Korea, The Ubiquitous (Smart) City Consortium ]
  • Hak Geon Lee [ The University of Seoul, Seoul, South of Korea ]
  • Hae Sun Jung [ The Ubiquitous (Smart) City Consortium ]
  • Yong Woo Lee [ The Ubiquitous (Smart) City Consortium, The University of Seoul, Seoul, South of Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Multimedia and Ubiquitous Engineering
  • 간기
    월간
  • pISSN
    1975-0080
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.8 No1

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