基于gmpls的1000多个控制节点的DREAMSCAPE实验演示

Yongli Zhao, Jie Zhang, M. Zhang, Yuefeng Ji, W. Gu
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引用次数: 2

摘要

随着大规模多层多域光网络的发展,由于需要考虑复杂的策略和约束,路径计算变得更加复杂,动态路由成为GMPLS/ASON网络中的关键问题之一。为了提高多层多域可扩展和约束感知策略支持光网络的路由性能,利用GMPLS控制平面和路径计算单元(PCE)的优点,提出了一种新的多层多域可扩展和约束感知策略支持光网络的双路由引擎架构(DREAMSCAPE)。在该体系结构中,组引擎(GE)和单元引擎(UE)的协同工作使得在复杂的多约束条件下的路径优化计算更加有效。本文描述了双路由引擎的功能架构。在此基础上,利用虚拟机技术搭建了一个包含1000多个gmpls控制节点的试验台,并在试验台上实现了两种路径计算方法。最后在实验台上对最新的研究结果进行了验证,并在结论部分提出了今后的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental demonstration of DREAMSCAPE with more than 1000 GMPLS-based control nodes
With the development of large scale multi-layer and multi-domain optical networks, path computation becomes more complicated as complex policies and constraints are to be considered and dynamic routing becomes one of the key issues in GMPLS/ASON networks. A novel Dual Routing Engine Architecture in Multi-layer and multi-domain Scalable and Constraint-Aware Policy-Enabled optical networks (DREAMSCAPE), exploiting the advantages of both GMPLS control plane and Path Computation Element (PCE), is introduced to improve the performance of routing in multi-layer and multi-domain optical networks in this paper. In the architecture, the cooperation of Group Engine (GE) and Unit Engine (UE) makes it effective to optimize path computation especially under complex multi-constraints. The functional architectures of dual routing engines are described in the paper. Based on this novel architecture, a testbed with more than 1000 GMPLS-based control nodes has been built in our lab using virtual machine technology, and two path computation approaches have been implemented on the testbed. The latest results are experimentally demonstrated on the testbed, and some future research issues are presented in the conclusion.
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