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• W2006749221 abstract "본 논문은 망 상태 정보를 효율적으로 집단화하는 방법을 제시하였다. 이것은 비대칭 망에서 링크의 QoS(Quality of Service) 파라미터가 두개 이상일 때 기존 집단화 방법들이 갖는 정보의 부정확성을 줄이기 위한 방법이다. 제안 방법은 공간 복잡도를 줄이기 위해 다단계 토폴로지 변형 시 토폴로지를 구성하는 논리 링크들의 유사성을 측정, 유사한 링크들의 그룹화 후 통합 과정을 통해 논리 링크들의 정보 왜곡을 줄인다. 이 방법은 서비스경계라인을 논리 링크로 갖는 풀 메쉬 토폴로지를 스패닝 트리 토폴로지로 변형 시 적용한다. 또한 실험을 통하여 기존 방법 보다 집단화된 정보의 정확도와 질의 응답 정확도에서 나은 성능을 가짐을 증명하였다. In this study, we present a method for efficiently aggregating network state information. It is especially useful for aggregating links that have both delay and bandwidth in an asymmetric network. Proposed method reduces the information distortion of logical link by integration process after similar measure and grouping of logical links in multi-level topology transformation to reduce the space complexity. It is applied to transform the full mesh topology whose Service Boundary Line (SBL) serves as its logical link into a spanning tree topology. Simulation results show that aggregated information accuracy and query response accuracy are higher than that of other known method." @default.
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• W2006749221 date "2011-12-31" @default.
• W2006749221 modified "2023-09-28" @default.
• W2006749221 title "Spanning Tree Aggregation Using Attribute of Service Boundary Line" @default.
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• W2006749221 doi "https://doi.org/10.3745/kipstc.2011.18c.6.441" @default.
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