期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2015
卷号：4
期号：3
页码：497-505
出版社：IJCSN publisher
摘要：Optical networks based on WDM technology offer the promise to satisfy the bandwidth requirements of the Internet infrastructure, and provide the bandwidth needs of future applications in the local and wide area networks. The network performance is now mainly limited by the processing capability of the network elements, which are mainly electronic. Traffic streams from users generally (in Mbps) have a data-rate that is far less than bandwidth of optical fibers (in Tbps) or that of a light-path in optical fibers. This mismatch of bandwidths between user needs and wavelength capacity makes it clear that some multiplexing should be done to use the wavelength capacity efficiently, which will result in reduction on the cost of line terminating equipment (LTE). Multiplexing low bandwidth traffic request onto high capacity wavelength channel is called as traffic grooming. Unlike full grooming, in which each node is capable of grooming (called as G-node), sparse grooming employs only a few grooming nodes in the network without a significant reduction in performance. Traffic grooming in particular sparse grooming optimizes the cost and reduces the network complexity by reducing the grooming hardware with optimal network performance. Here, we present some heuristic algorithms to perform Gnode selection and grooming in a WDM optical network using dynamic traffic along with load balancing. We show by our simulation results that network throughput (or blocking probability) almost as same as full grooming can be achieved using sparse grooming. We also compare the performance of the proposed algorithm with the earlier available approaches and our simulation results show that our algorithm provides performance as good as the present approaches
关键词：Line Terminating Equipment (LTE) SONET/SDH;Synchronous Optical Network (SONET)/Synchronous Digital Hierarchy (SDH);Dense Wavelength Division Multiplexing (DWDM) Integer Linear Programming (ILP);NSF-NET
