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Stable Logical Topologies for Survivable Traffic Grooming of Scheduled Demands

机译:稳定的逻辑拓扑,可对计划的需求进行合理的流量梳理

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There has been considerable research interest in the area of traffic grooming for WDM mesh networks. The vast majority of the current work can be classified into one of two categories, either static grooming or dynamic grooming. In many situations, the individual traffic demands require bandwidth at certain predefined intervals, and resources allocated to nonoverlapping demands can be reused in time. In this paper, we propose a new traffic grooming technique that exploits knowledge of the connection holding times of traffic demands to lead to more efficient resource utilization. We consider wavelength-convertible networks as well as networks without any wavelength conversion capability and implement survivability using dedicated and shared path protection. Although individual demands may be short lived, it is desirable to have a logical topology that is relatively stable and not subject to frequent changes. Therefore, our objective is to design a stable logical topology that can accommodate a collection of low-speed traffic demands with specified setup and teardown times. Our approach results in lower equipment cost and significantly reduced overhead for connection setup/teardown. We present efficient integer linear program (ILP) formulations that address the complete traffic grooming problem, including logical topology design, routing and wavelength assignment, and routing of traffic demands over the selected topology. The primary focus of our ILP formulations is to minimize the resource requirements. However, it is possible to modify our formulations to maximize the throughput, if necessary.
机译:在WDM网状网络的流量梳理领域中,已有相当多的研究兴趣。当前的绝大多数工作可以分为静态修饰或动态修饰两个类别之一。在许多情况下,各个流量需求在某些预定义的时间间隔上需要带宽,分配给非重叠需求的资源可以及时重用。在本文中,我们提出了一种新的流量疏导技术,该技术利用流量需求的连接保持时间的知识来提高资源利用效率。我们考虑波长可转换的网络以及没有任何波长转换功能的网络,并使用专用和共享路径保护来实现可生存性。尽管单个需求可能会短暂存在,但希望具有一个相对稳定且不会频繁更改的逻辑拓扑。因此,我们的目标是设计一种稳定的逻辑拓扑,以指定的建立和拆除时间来满足一系列低速流量需求。我们的方法可降低设备成本,并显着减少连接设置/拆卸的开销。我们提出了有效的整数线性程序(ILP)公式,用于解决完整的流量疏导问题,包括逻辑拓扑设计,路由和波长分配,以及在选定拓扑上路由流量需求。我们的ILP制定的主要重点是最大限度地减少资源需求。但是,如有必要,可以修改我们的配方以最大程度地提高产量。

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