RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Cost Minimization for Big Data Processing in Geo-Distributed Data Centres

        T. Sai Raaga Sowmya 사단법인 미래융합기술연구학회 2016 아시아태평양융합연구교류논문지 Vol.2 No.4

        Demand on big data is being increasing day by day and also increasing heavy burden on computation, storage and communication in data centres, which lead to considerable expenditure to data centre providers. So, cost minimization became an issue for the upcoming bid data.one of the main feature of bid data is coupling of data and computation as computation task. This can be done only when that corresponding is available for computation. Three tasks like data placement, task assignment and data movement influence the expense of data centres. In this paper we study how to minimize cost through joint optimization of these above three factors for big data service in geo distributes data centres. Here we propose 2-D Markov chain to describe time to complete a particular task with consideration of data transmission and computation to derive average task completion time in closed time. In addition, we here model the problem as mixed integer nonlinear programming and propose a solution to linearize it.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼