REF: Enabling Rapid Experimentation of Contextual Network Traffic Management Using Software Defined Networking
Autor: | Lyndon Fawcett, Bruno Hareng, Nicholas Race, Mu Mu |
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Rok vydání: | 2017 |
Předmět: |
Computer Networks and Communications
Computer science business.industry Distributed computing 020206 networking & telecommunications Provisioning 02 engineering and technology Dynamic priority scheduling Virtualization computer.software_genre Network traffic control Networking hardware Computer Science Applications Resource (project management) 0202 electrical engineering electronic engineering information engineering Resource allocation 020201 artificial intelligence & image processing Resource management Electrical and Electronic Engineering business Software-defined networking computer Computer network |
Zdroj: | IEEE Communications Magazine. 55:144-150 |
ISSN: | 0163-6804 |
DOI: | 10.1109/mcom.2017.1600507 |
Popis: | Online video streaming is becoming a key consumer of future networks, generating high throughput and highly dynamic traffic from large numbers of heterogeneous user devices. This places significant pressure on the underlying networks and can lead to a deterioration in performance, efficiency and fairness. To address this issue, future networks must incorporate contextual network designs that recognise application and user-level requirements. However, designs of new network traffic management components such as resource provisioning models are often tested within simulation environments which lack subtleties in how network equipment behaves in practice. This paper contributes the design and operational guidelines for a Software Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using real network infrastructures. Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of SDN-assisted networking. |
Databáze: | OpenAIRE |
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