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Dynamic resource allocation for immediate and advance reservation in space-division-multiplexing-based elastic optical networks

机译:基于空分复用的弹性光网络中即时预留和提前预留的动态资源分配

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摘要

Numerous studies have investigated elastic optical networks (EONs) with the aim of expanding the transmission capacities of core networks. To achieve this goal, it is necessary to solve the spectrum resource wastage problem caused by spectrum fragmentation. Moreover, due to the potentially high traffic demands in future networks, it is important to handle requests that need to be reserved immediately (immediate reservation, IR) as well as those that can be reserved in advance (advance reservation, AR). In networks that support the coexistence of IR and AR requests, IR service degradation by AR requests is a challenging issue because AR requests tend to reserve future resources, which causes a lack of current resources to meet IR requests. Therefore, we address the problem of spectrum fragmentation and the service-level control of IR and AR requests by routing and spectrum allocation (RSA). First, we summarize related research into EONs and resource- allocation methods for IR and AR requests. Next, we propose a novel dynamic RSA method to reduce spectrum fragmentation and control the service level of IR and AR requests in terms of bandwidth blocking probability (BBP) in EONs considering the multiplexing effect of spatial channels. Finally, we evaluate the proposed method based on computer simulations and our results demonstrate that the proposed method can improve the BBP for the entire traffic flow by reducing spectrum fragmentation, as well as the service control of AR requests and IR requests under various network conditions.
机译:为了扩展核心网络的传输容量,许多研究已经研究了弹性光网络(EON)。为了达到这个目的,有必要解决频谱碎片化导致频谱资源浪费的问题。此外,由于未来网络中潜在的高流量需求,重要的是要处理需要立即保留的请求(立即保留,IR)以及可以预先保留的请求(提前保留,AR)。在支持IR和AR请求共存的网络中,AR请求导致IR服务降级是一个具有挑战性的问题,因为AR请求往往会保留将来的资源,这会导致缺乏满足IR请求的当前资源。因此,我们通过路由和频谱分配(RSA)解决了频谱碎片和IR和AR请求的服务级别控制的问题。首先,我们总结了有关IR和AR请求的EON和资源分配方法的相关研究。接下来,考虑空间信道的复用效应,我们提出了一种新颖的动态RSA方法来减少频谱碎片并根据EON中的带宽阻塞概率(BBP)控制IR和AR请求的服务水平。最后,我们基于计算机仿真对提出的方法进行了评估,结果表明,通过减少频谱碎片以及在各种网络条件下对AR请求和IR请求的服务控制,该方法可以改善整个流量的BBP。

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