• Title/Summary/Keyword: DiffSserv

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The Study of Signal Processing Performance using DiffServ in Mobile IPv6 Network Based on IEEE 802.11e (IEEE 802.11e기반 Mobile IPv6망에서 DiffServ를 이용한 신호처리 성능에 관한 연구)

  • Son, Sung-Chan;Cho, Kyung-Cheol;Cho, Byung-Hak
    • 한국정보통신설비학회:학술대회논문집
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    • 2005.08a
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    • pp.338-341
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    • 2005
  • Recently there are increasing needs for Internet and various kinds of contents. These traffics for various contents need more amount of data to provide high-quality information and require various QoS depending on the characteristics of contents. However, current Internet service supports BE (Best Effort) service only, therefore IntServ (Integrated Service) scheme and DiffSserv (Differentiated Service) scheme are represented to support QoS in IP layer. This paper describes new scheme that provides QoS taking into account the traffic characteristics over Mobile IPv6 network based on IEEE 802.11e by decreasing signal process time using traffic class of DiffServ and evaluates the performance through computer simulation.

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New Dynamic WRR Algorithm for QoS Guarantee in DiffServ Networks (DiffServ 망에서 QoS를 보장하기 위한 새로운 동적 가중치 할당 알고리즘 개발)

  • Chung Dong-Su;Kim Byun-Gon;Park Kwang-Chae;Cho Hae-Seong
    • The Journal of the Korea Contents Association
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    • v.6 no.7
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    • pp.58-68
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    • 2006
  • There are two traditional scheduling methods known as PQ and WRR in the DiffServ network, however, these two scheduling methods have some drawbacks. In this paper, we propose an algorithm that can be adopted in WRR scheduler with making up for weak points of PQ and WRR. The proposed algorithm produces the control discipline by the fuzzy theory to dynamically assign the weight of WRR scheduler with checking the Queue status of each class. To evaluate the performance of the proposed algorithm, We accomplished a computer simulation using NS-2. From simulation results, the proposed algorithm improves the packet loss rate of the EF class traffic to 6.5% by comparison with WRR scheduling method and that of the AF4 class traffic to 45% by comparison with PQ scheduling method.

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