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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Providing Quality of Service (QoS) for Data Traffic in Elastic Optical Networks (EONs)
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Providing Quality of Service (QoS) for Data Traffic in Elastic Optical Networks (EONs)

机译：为弹性光网络（EONS）中的数据流量提供服务质量（QoS）

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摘要

With the growth of users'traffic demands, the need for a network to flexibly assign the existing resources to the demands becomes an important challenging issue. Therefore, a specific generation of optical networks called elastic optical network (EON) has been introduced recently. EON can assign the available resources proportional to the requested amount of arriving demands. However, one of the important issues in EON which has not been addressed is the provision of quality of service (QoS) for data traffic. Blocking probability (BP), loss rate, delay and jitter are known to be well-known QoS parameters. Based on QoS-aware classification, the data traffic is divided into high-quality (HQ) and low-quality (LQ) traffic. Accordingly, the QoS for the HQ traffic is preferred to be guaranteed. Among mentioned QoS parameters, BP is the most critical metric which has to be carefully taken into consideration. In this paper, we propose two novel algorithms in order to provide QoS for data traffic and alleviate the BP for HQ traffic as QoS provision based on squeezing (QPS) and QoS provision based on fragmentation (QPF). The proposed algorithms, respectively, use reservation and preemption mechanisms to provide better QoS. The numerical results confirm that the QPF and QPS algorithms are capable of alleviating the blocking probability ofHQtraffic at the expense of slight increase in blocking probability for LQ traffic.
机译：随着用户的增长需求，需要一个网络来灵活地将现有资源分配到需求成为一个重要的具有挑战性问题。因此，最近介绍了一种名为弹性光网络（EON）的特定产生光网络。 EON可以将可用资源分配与所需的到达需求量成比例。但是，尚未解决的EON中的重要问题是提供数据流量的服务质量（QoS）。已知阻断概率（BP），丢失率，延迟和抖动是众所周知的QoS参数。基于QoS感知分类，数据流量分为高质量（HQ）和低质量（LQ）流量。因此，优选保证HQ流量的QoS。其中提到QoS参数，BP是必须仔细考虑的最关键的指标。在本文中，我们提出了两种新颖算法，以便为数据流量提供QoS，并根据碎片（QPF）基于挤压（QPS）和QoS提供，以QoS提供的HQ流量的BP。所提出的算法，分别使用预留和抢占机制来提供更好的QoS。数值结果证实，QPF和QPS算法能够减轻诸如LQ流量阻塞概率的略微增加的逐渐增加的阻塞概率。

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