Dynamic benefit-weighted scheduling scheme in multi service networks

Namratha B. Gowda, Reema Sharma, Navin Kumar, T. Srinivas
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引用次数: 1

Abstract

This paper proposes a new dynamic packet scheduling scheme which guarantees the delay and jitter properties of differentiated services (DiffServ) network for both real time and non-real time traffics. The proposed dynamic packet scheduling algorithm uses a new weighted computation scheme known as dynamic benefit weighted scheduling (DB-WS) which is loosely based on weighted round robin (WRR) or fair queuing policy. The novelty of this scheduler is that it predicts the weight required by expedited forwarding (EF) service for current time slot (t) based on two factors: (i) previous weight allocated to it at time slot (t-1), and (ii) average increase in weights of EF traffic in consecutive time slots. This prediction provides smoother and balanced bandwidth allocation to EF, assured forwarding (AF) and best effort (BE) packets by not allocating all the resources to EF and also ensuring minimal packet losses for EF service. Adopting such a dynamic resource allocation effectively achieves reduction in packet loss, end to end delay and delay jitter. The algorithm is tested with different data rates and found to outperform other existing methods in terms of packet loss and end to end delay.
多业务网络中的动态利益加权调度方案
本文提出了一种新的动态分组调度方案,保证差分服务(DiffServ)网络在实时和非实时业务下的时延和抖动特性。提出的动态分组调度算法采用了一种新的加权计算方案,即动态利益加权调度(DB-WS),该方案松散地基于加权轮询(WRR)或公平排队策略。该调度程序的新颖之处在于,它基于两个因素来预测加速转发(EF)服务在当前时点(t)所需的权重:(i)在时点(t-1)分配给它的先前权重,以及(ii)连续时点中加速转发流量权重的平均增长。这种预测为EF提供了更平滑和平衡的带宽分配,确保转发(AF)和最佳努力(BE)数据包,而不是将所有资源分配给EF,并确保EF服务的数据包丢失最小。采用这种动态资源分配方式,可以有效地减少丢包、减少端到端时延和时延抖动。该算法在不同的数据速率下进行了测试,发现在丢包和端到端延迟方面优于其他现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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