Disclosed embodiments provide edge computing mechanisms for network congestion identification and control, and for providing predicted QoS notifications. The network congestion control embodiments enable context-aware, location-aware, radio network information-aware congestion event identification and control at the transitter/sender device, which provides a new category of congestion control algorithms exploiting the aforementioned information via edge computing services, where an edge computing framework acts as broker. The predicted QoS notifications include predictions of radio signal quality and conditions as well as predicted edge or cloud computation resources. Other embodiments may be described and/or claimed.

Edge computing technologies for transport layer congestion control and point-of-presence optimization based on extended in-advance Quality of Service notifications

D. Sabella;G. Nardini;G. Stea;A. Virdis;
2020-01-01

Abstract

Disclosed embodiments provide edge computing mechanisms for network congestion identification and control, and for providing predicted QoS notifications. The network congestion control embodiments enable context-aware, location-aware, radio network information-aware congestion event identification and control at the transitter/sender device, which provides a new category of congestion control algorithms exploiting the aforementioned information via edge computing services, where an edge computing framework acts as broker. The predicted QoS notifications include predictions of radio signal quality and conditions as well as predicted edge or cloud computation resources. Other embodiments may be described and/or claimed.
2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1015523
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