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A Study on Popularity-based Caching Decision Scheme for Content Centric Networking 원문보기

  • 저자

    BongYong Kwon

  • 학위수여기관

    Kyung Hee University

  • 학위구분

    국내석사

  • 학과

    컴퓨터공학과

  • 지도교수

    Choong Seon Hong

  • 발행년도

    2014

  • 총페이지

  • 키워드

    Content-Centric Networking Content Popularity Caching Decision Scheme;

  • 언어

    eng

  • 원문 URL

    http://www.riss.kr/link?id=T13536671&outLink=K  

  • 초록

    In content centric networking (CCN), the contents that users request are searched by interest packets. If the searched contents are matched the data packets that include the contents will be forwarded back to the users. In the existing Content-Centric Networking, when users request a certain content, the data packet is cached in all routers along the path from the server or the router which have the content to the edge router which connected to the client. However the existing caching method is inefficient in terms of cache utilization since it stores all the unpopular contents that are less requested than others. This leads to frequent replacement of the contents using cache replacement policy, which can be considered as wasting the resources. In this dissertation, to solve the problem mentioned above, we propose a method to determine how to cache with respect to popularity of contents for more efficient caching in CCN routers. In the proposed idea, a weight is added to the routers which are on the route of data packets. The weight will enable the contents that have high popularity to be stored near the client so that the hop-distance of interest packets is shorter. This can result in both lowering network load by transmitting the data packets to the client efficiently and efficient use of cache resources by reducing the portion of caching the low-popularity contents. Besides, simulations are conducted in relation to the existing CCN schemes and the proposed CCN scheme in order to evaluate the utility and validity of the proposed idea and the dissertation will end with the conclusion.


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