Research Area: Software Defined Networks
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.
Keywords:
Software defined networking (SDN)
traffic engineering
ant colony optimization (ACO)
Author(s) Name: Maryam Tanha; Dawood Sajjadi; Rukhsana Ruby; Jianping Pan
Journal name: IEEE Communications Letters
Conferrence name:
Publisher name: IEEE
DOI: 10.1109/LCOMM.2018.2789419
Volume Information: Volume: 22, Issue: 3, March 2018, Page(s): 438 - 441
