基于实时流量分析的NG-SDH网络动态带宽再分配

Tsan-Chang Kuo, Min-Chia Chang, Chuan Yin, Been-Huang Liao
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引用次数: 0

摘要

同步数字层次(SDH)网络在全球范围内被电信服务提供商(SP)广泛部署。通常,SDH网络电路必须事先设计和配置。电路配置文件,包括容量,电路路由,端点…,必须在服务激活之前分配。任何由于网络故障或流量拥塞导致的网络重新配置的尝试都将导致不确定的业务中断。为了进一步提高网络的可用性,服务提供商不得不过度构建他们的网络或为每个关键电路分配备份路由,然而,这是昂贵和低效的。随着下一代SDH (NG-SDH)的VCAT (Virtual concatation)和LCAS (Link Capacity Adjustment Scheme)等技术的引入,运营商可以在不同的带宽粒度上调整各自的SDH电路,并且可以不受影响地增加或减少每条电路的带宽。在本研究中,我们提出了一种基于实时交通流数据和网络报警信息的有效方法来定位过建带宽、故障电路和拥塞电路。然后,我们的方法通过利用VCAT和LCAS的优势来重新分配过度构建的网络带宽,以响应网络故障或流量拥塞。仿真结果表明,该方法能够以最小的代价显著提高网络可用性和网络资源利用率。
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Dynamic bandwidth reallocation for NG-SDH networks based on Real-time Traffic Flow Analysis
Synchronous Digital Hierarchy (SDH) networks are wildly deployed by telecom service providers (SP) around the world. Conventionally, SDH network circuits have to be designed and provisioned beforehand. Circuit profiles, including capacity, circuit route, end points..., have to be assigned before service activations. Any attempt of network re-configuration caused by network failures or traffic congestions will lead to uncertain service interruption. To further increase network availability, SPs have to overbuild their networks or to assign backup route(s) for each critical circuit, which, however, is costly and inefficient. With the introduction of technologies such as Virtual Concatenation (VCAT) and Link Capacity Adjustment Scheme (LCAS) of Next generation SDH (NG-SDH), SPs are able to adjust their SDH circuits at various bandwidth granularities and to hitlessly increase or decrease bandwidth of each circuit. In this study, we propose an effective approach to locate overbuild bandwidth, failed circuits, as well as congested circuits based on real time traffic flow data and network alarm message. Then our approach reallocates overbuilt network bandwidth in responding to network failures or traffic congestions by exploiting the benefit of VCAT and LCAS. Our simulation results show that our approach can significantly improve network availability as well as network resource utilization with minimal cost.
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