期刊
IEEE COMMUNICATIONS LETTERS
卷 22, 期 3, 页码 438-441出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2789419
关键词
Software defined networking (SDN); traffic engineering; ant colony optimization (ACO)
Software-defined networking (SDN) provides an unprecedented opportunity to enhance the traffic engineering in IP networks. This emerges from the fine-grained centralized control over routing, which enables an immediate response to network dynamics. However, due to the high operational and performance costs of the migration, network operators prefer a multi-period planning approach for the deployment of SDN-enabled devices. In this letter, we present and evaluate an efficient algorithm to seek a beneficial upgrade policy for a network considering the budget constraints. Our proposed algorithm outperforms the most recent work, particularly for large-scale topologies and an increased number of time periods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据