US 12,088,507 B2
Scalable edge computing
Francesc Guim Bernat, Barcelona (ES); Karthik Kumar, Chandler, AZ (US); Thomas Willhalm, Sandhausen (DE); Mark A. Schmisseur, Phoenix, AZ (US); and Timothy Verrall, Pleasant Hill, CA (US)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Jul. 11, 2022, as Appl. No. 17/861,949.
Application 17/861,949 is a continuation of application No. 17/500,543, filed on Oct. 13, 2021, granted, now 11,456,966.
Application 17/500,543 is a continuation of application No. 17/195,409, filed on Mar. 8, 2021, abandoned.
Application 17/195,409 is a continuation of application No. 16/024,465, filed on Jun. 29, 2018, granted, now 10,944,689, issued on Mar. 9, 2021.
Prior Publication US 2022/0345420 A1, Oct. 27, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 15/173 (2006.01); G06F 9/50 (2006.01); G06N 20/00 (2019.01); H04L 47/70 (2022.01); H04L 47/765 (2022.01); H04L 47/83 (2022.01)
CPC H04L 47/765 (2013.01) [G06F 9/5011 (2013.01); G06N 20/00 (2019.01); H04L 47/824 (2013.01); H04L 47/83 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A system for use in association with providing of at least one cloud service, the system comprising:
telemetry circuitry to access telemetry-related data, the telemetry-related data comprising current resource utilization data and historical resource utilization data related to at least one traffic flow associated with the providing of the at least one cloud service to at least one tenant, the at least one tenant being associated with at least one service level agreement;
prediction circuitry to predict, based upon the telemetry-related data, anticipated resource utilization that is expected to be associated with the providing of the at least one cloud service to the at least one tenant; and
proactive resource allocation circuitry to proactively determine, prior to occurrence of the anticipated resource utilization, at least one resource allocation action to permit the anticipated resource utilization to be at least satisfied;
wherein:
the prediction circuitry is to predict, with a configurable periodicity, the anticipated resource utilization based upon at least one machine learning model;
the anticipated resource utilization is associated with the at least one service level; and
the at least one resource allocation action is associated with configuration of virtual resources.