Tomography Based Learning for Load Distribution Through Opaque Networks

Applications such as virtual reality and online gaming require low delays for acceptable user experience. A key task for over-the-top (OTT) service providers who provide these applications is sending traffic through the networks to minimize delays. OTT traffic is typically generated from multiple da...

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Veröffentlicht in:	IEEE open journal of the Communications Society 2021, Vol.2, p.656-670
Hauptverfasser:	Xu, Shenghe, Kodialam, Murali, Lakshman, T. V., Panwar, Shivendra S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Data centers Delays Load distribution Load distribution (forces) Machine learning Neural networks Probes Reinforcement learning Routing segment routing Stress concentration Tomography Traffic delay User experience Virtual networks Virtual reality
Online-Zugang:	Volltext
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