首页> 外文会议>21st annual symposium on parallelism in algorithms and architectures 2009 >Competitive Buffer Management for Multi-Queue Switches in QoS Networks Using Packet Buffering Algorithms
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Competitive Buffer Management for Multi-Queue Switches in QoS Networks Using Packet Buffering Algorithms

机译:使用数据包缓冲算法的QoS网络中多队列交换机的竞争性缓冲区管理

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The online buffer management problem formulates the problem of queuing policies of network switches supporting QoS (Quality of Service) guarantee. We focus on multi-queue switches in QoS networks proposed by Azar et al. To achieve good upper bounds, they introduced so-called "the relaxed model". Also, they showed that if the competitive ratio of the single-queue model is at most c, and if the competitive ratio of the relaxed model is at most c', then the competitive ratio of the multi-queue switch model is cc'. They proved that c'≤ 2, and obtained upper bounds on the competitive ratios for several multi-queue switch models.In this paper, we propose an online algorithm called DS (Dual Scheduling) for the competitive ratio of the relaxed model and obtain some better competitive ratios of the 2-value multi-queue switch model, where the value of packets is restricted to 1 and α(≥ 1). DS uses as subroutine any online algorithms A for the non-preemptive unit-value switch model, which has also been extensively studied. We prove that if the competitive ratio of A is at most c, then thecompetitive ratio of DS is at most (αc(2-c)+c~2-2c+2)/(α(2-c)+c-1), which is strictly better than 2.The followings are a couple of examples of the improvement on the competitive ratios of the 2-value multi-queue switch models using our result: (ⅰ) We have improved the competitive ratio of deterministic algorithms for the non-preemptive 2-value multi-queue switch model from 4 to 3.177 for large enough B, where B is the number of packets each queue can simultaneously store, (ⅱ) We have proved that the competitive ratio of randomized algorithms for the non-preemptive 2-value multi-queue switch model is at most (17)/2-(30)~(1/2) approx= 3.023 for large enough B.
机译:在线缓冲区管理问题是支持QoS(服务质量)保证的网络交换机排队策略的问题。我们专注于Azar等人提出的QoS网络中的多队列交换机。为了达到良好的上限,他们引入了所谓的“宽松模型”。同样,他们表明,如果单队列模型的竞争比最多为c,而松弛模型的竞争比最多为c',则多队列交换模型的竞争比为cc'。他们证明了c'≤2,并为几种多队列交换模型获得了竞争比的上限。 在本文中,我们针对松弛模型的竞争率提出了一种称为DS(双重调度)的在线算法,并获得了将包的值限制为1且将数据包的值限制为2的多值多队列交换模型的更好的竞争率。 α(≥1)。 DS将用于非抢先式单位价值转换模型的任何在线算法A用作子例程,该算法也已得到广泛研究。我们证明如果A的竞争比最大为c,则 DS的竞争比最大为(αc(2-c)+ c〜2-2c + 2)/(α(2-c)+ c-1),严格优于2。 以下是使用我们的结果来改善二值多队列交换模型的竞争比的几个示例:(ⅰ)我们提高了非抢占式二值多队列决策算法的竞争比。队列切换模型从4到3.177,足以容纳足够大的B,其中B是每个队列可以同时存储的数据包数量(ⅱ)我们证明了非抢占式2值多队列切换的随机算法的竞争比对于足够大的B,模型最多为(17)/ 2-(30)〜(1/2)约= 3.023。

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