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On the rate-jitter performance of jitter-buffer in TDMoPSN: study using queueing models with a state-dependent service

机译:关于TDMoPSN中抖动缓冲区的速率抖动性能:使用带有状态相关服务的排队模型进行研究

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Time-division multiplexing over packet-switched network (TDMoPSN) is an intermediate phase of transition from current synchronous TDM to future all-optical converged network. TDMoPSN is exclusively used to transport interactive voice traffic transparently over a PSN (e.g., IP, MPLS or Ethernet). The goal of this paper is to reduce rate-jitter that is introduced into a stream of packets carrying TDM payload. We have proposed two online algorithms, algorithm-A and algorithm-B, to reduce the rate-jitter and shown analytically that the rate-jitter achieved by algorithm-A is strictly less than the rate-jitter of online algorithm proposed by Mansour et al. [1]. We have used three stochastic processes, namely Poisson, Markov-modulated Poisson process (MMPP) and an arrival process with Pareto-distributed inter-arrival times (see [2-4]) for modeling the arrival of TDM packets (say, IP packets with single or many TDM frames as payloads) at the destination. We undertook statistical analysis of the proposed algorithms by modeling the jitter-buffer as and queues, to derive steady-state queue-length distribution, mean waiting time and distribution of inter-departure times. We also simulate the most realistic queueing model of our study and evaluated its performance with respect to the metrics: rate-jitter, mean waiting time, packet loss probability and steady-state queue-length distribution. Simulation results show that our proposed algorithms far outperforms the scheme proposed in [1]. We also present simulation results to verify the correctness of analytical queueing models. The algorithms proposed here are more general (for TDMoPSNs) and can be used to study TDMoIP, pseudowire, CES over metro Ethernet network (MEN), etc.
机译:分组交换网络(TDMoPSN)上的时分多路复用是从当前同步TDM过渡到未来全光融合网络的中间阶段。 TDMoPSN专门用于在PSN(例如IP,MPLS或以太网)上透明地传输交互式语音流量。本文的目的是减少速率抖动,该抖动被引入携带TDM有效载荷的数据包流中。为了减少速率抖动,我们提出了两种在线算法,算法A和算法B,并通过分析表明,算法A所实现的速率抖动严格小于Mansour等人提出的在线算法的速率抖动。 。 [1]。我们使用了三个随机过程,即泊松,马尔可夫调制泊松过程(MMPP)和具有帕累托分布的到达时间的到达过程(请参阅[2-4])来对TDM数据包(例如IP数据包)的到达进行建模。在目的地使用单个或多个TDM帧作为有效负载)。我们通过对抖动缓冲区和队列建模,对提出的算法进行了统计分析,以得出稳态队列长度分布,平均等待时间和出发时间的分布。我们还模拟了我们研究中最现实的排队模型,并根据以下指标评估了其性能:速率抖动,平均等待时间,丢包率和稳态队列长度分布。仿真结果表明,我们提出的算法远远优于[1]中提出的方案。我们还提出了仿真结果,以验证分析排队模型的正确性。此处提出的算法更为通用(针对TDMoPSN),可用于研究TDMoIP,伪线,城域以太网(MEN)上的CES等。

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