• Title/Summary/Keyword: 커뮤니티 스트럭쳐

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Recovering Module View of Software Architecture using Community Detection Algorithm (커뮤니티 검출기법을 이용한 소프트웨어 아키텍쳐 모듈 뷰 복원)

  • Kim, Jungmin;Lee, Changun
    • Journal of Software Engineering Society
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    • v.25 no.4
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    • pp.69-74
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    • 2012
  • This article suggests applicability to community detection algorithm from module recovering process of software architecture through compare to software clustering metric and community dectection metric. in addition to, analyze mutual relation and difference between separated module and measurement value of typical clustering algorithms and community detection algorithms. and then only sugeested several kinds basis that community detection algorithm can use to recovering module view of software architecture and, by so comparing measurement value of existing clustering metric and community algorithms, this article suggested correlation of two result data.

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An IPTV Network Infrastructure for Organizing an Extendible IPTV Architecture (확장형 IPTV 아키텍처 구성을 위한 IPTV 네트워크 인프라스트럭쳐 연구)

  • Chung, Sung-Wook
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.5
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    • pp.465-471
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    • 2016
  • An IPTV has emerged as a widespread system when a realtime network and broadcasting system have progressed. Interestingly, it can also be organized with IPTV STBs and FC-AL for a high-quality TV content-sharing architecture. It is, however, not easy to configure a large community network with the FC-AL since it only has a 7-bit address space with supporting up to 127 users in the FC-AL single loop. We, therefore, propose an extendible FC-AL-based IPTV network architecture using a FC switch device. In this article, our suggested architecture shows a superb startup delay, such as less than 20msec. In addition, it demonstrates outstanding extendibility, such that the number of accomodable users increases almost linearly according to adding loops. Lastly, it reveals exceptional time-shifting hours, i. e., which supports more than 140 hours with 1000 users.