Traffic Engineering Enhancement by Progressive Migration to SDN
Autor: | Maryam Tanha, Rukhsana Ruby, Dawood Sajjadi, Jianping Pan |
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Rok vydání: | 2018 |
Předmět: |
business.industry
Computer science 020206 networking & telecommunications 02 engineering and technology Network topology Network dynamics Computer Science Applications Traffic engineering Software deployment Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Routing (electronic design automation) business Computer network |
Zdroj: | IEEE Communications Letters. 22:438-441 |
ISSN: | 1089-7798 |
DOI: | 10.1109/lcomm.2018.2789419 |
Popis: | 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. |
Databáze: | OpenAIRE |
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