• Title/Summary/Keyword: burst drop probability

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Efficient Channel Scheduling Technique Using Release Time Unscheduled Channel Algorithm in OBS WDM Networks (OBS WDM 망에서 비 할당된 채널 개방시간을 이용한 효율적인 채널 스케줄링 기법)

  • Cho Seok-man;Kim Sun-myeng;Choi Dug-kyoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.10A
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    • pp.912-921
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    • 2005
  • Optical burst switching(OBS) is a promising solution for building terabit optical routers and realizing If over WDM. Channel scheduling Algorithm for reduce contention is one of the major challenges in OBS. We address the issue of how to provide basic burst channel scheduling in optical burst switched WDM networks with fiber delay lines(FDLs). In OBS networks the control and payload components or a burst are sent separately with a time gap. If CHP arrives to burst switch node, because using scheduling algorithm for data burst, reservation resources such as wavelength and transmit data burst without O/E/O conversion, because contention and void between burst are happened at channel scheduling process for data burst that happened the link utilization and bust drop probability Existent proposed methods are become much research to solve these problems. Propose channel scheduling algorithm that use Release Time of bust to emphasize clearance between data and data dissipation that is happened in data assignment in this treatise and maximize bust drop probability and the resources use rate (RTUC : Release Time Unscheduled Channel). As simulation results, Confirmed that is more superior in terms of data drop and link utilization than scheduling algorithm that is proposed existing. As simulation results, confirmed improved performance than scheduling algorithm that is proposed existing in terms of survival of burst, efficiency resource and delay. However, In case load were less, degradation confirmed than existent scheduling algorithm relatively, and confirmed that is superior in data drop aspect in case of load increased.

Group Scheduling for Efficient Channel Utilization in Optical Burst Switched Networks (OBS 네트워크의 효율적 채널 이용을 위한 그룹 스케줄링 방식)

  • 신종덕
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.10
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    • pp.51-58
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    • 2003
  • In this paper, we propose a group scheduling scheme to efficiently utilize network resources for core nodes in optical burst switching networks. This scheme schedules multiple bursts utilizing an interval graph to obtain the maximum stable set using the information such as arrival times and burst lengths from the collected header packets. Simultaneous scheduling of multiple bursts in a scheduling window results in lower burst loss probability and increased channel utilization than those proposed previously using one-to-one mapping. Simulation results for both cases of variable and fixed burst sizes show that the group scheduling scheme is better than the immediate scheduling, so called Latest Available Unused Channel with Void Filling, scheme in both performance metrics above mentioned.

A Self-Adaptive Agorithm for Optimizing Random Early Detection(RED) Dynamics (라우터 버퍼 관리 기반 체증 제어 방식의 최적화를 위한 자체 적응 알고리즘)

  • Hong, Seok-Won;Yu, Yeong-Seok
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11
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    • pp.3097-3107
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    • 1999
  • Recently many studies have been done on the Random Early Detection(RED) algorithm as an active queue management and congestion avoidance scheme in the Internet. In this paper we first overview the characteristics of RED and the modified RED algorithms in order to understand the current status of these studies. Then we analyze the RED dynamics by investigating how RED parameters affect router queue behavior. We show the cases when RED fails since it cannot react to queue state changes aggressively due to the deterministic use of its parameters. Based on the RED parameter analysis, we propose a self-adaptive algorithm to cope with this RED weakness. In this algorithm we make two parameters be adjusted themselves depending on the queue states. One parameter is the maximum probability to drop or mark the packet at the congestion state. This parameter can be adjusted to react the long burst of traffic, consequently reducing the congestion disaster. The other parameter is the queue weight which is also adjusted aggressively in order for the average queue size to catch up with the current queue size when the queue moves from the congestion state to the stable state.

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