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The Framework of Social Networks Big Data Processing Based on Cloud Computing

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJDTA) 바로가기
  • 간행물
    International Journal of Database Theory and Application SCOPUS 바로가기
  • 통권
    Vol.9 No.10 (2016.10)바로가기
  • 페이지
    pp.189-198
  • 저자
    Liu Kewen, Gao Changyuan
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A288056

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원문정보

초록

영어
With the rise of cloud computing, internet of things, social networks, the type and scale of data in human society has increased at an unprecedented rate, making data from being a simple object to be process to being a basic resource. Fully mining the value of data resources that was hidden in SNS such Weibo Microblog, Wechat has become a common subject concerned by industrial circle, academic area and government departments. Although the distributed storage and analysis of cloud computing platform have been widely used in big data process of social networks, it has not been able to fully solve the problems of big data storage and process in social networks. In this paper, it proposed the big data process framework of social networks based on cloud computing. By adopting the mixing cloud model and coordinating the data storage framework and data computing framework, and regarding social networks features such as real-time, sharing, mobility, individuation, and interactivity, this big data process framework can be adopted to process large-scale massive amount of data, to research the unified management and sharing strategy of massive data, to propose data process strategy and the service application of big data such as Microblog and Wechat, and to discuss several urgent key problems in processing social networks big data.

목차

Abstract
 1. Introduction
 2. Cloud Computing and Social Networks Big Data Processing
  2.1. Application of Cloud Computing in Processing Social Networks Big Data
  2.2. Features of Social Networks Big Data Processing
 3. Social Networks Big Data Processing Framework Based on Cloud Computing
  3.1. Data Extrication and Integration
  3.2. Data Analysis
  3.3. Data Evaluation and Interpretation
 4. Social Networks Big Data Processing Strategy
  4.1. Services Application of Social Networks Big Data on Microblog and Wechat
  4.2. Social Networks Big Data Processing Strategy
 5. Conclusion
 References

키워드

Cloud computing social networks big data data processing

저자

  • Liu Kewen [ Harbin University of Science and Technology,School of Management, Harbin, China / Harbin University of Commerce,School of Computer and Information Engineering, Harbin, China ]
  • Gao Changyuan [ Harbin University of Science and Technology,School of Management, Harbin, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
  • 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 Database Theory and Application
  • 간기
    격월간
  • pISSN
    2005-4270
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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