Scalable edge computing
There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (AI) circuit; and circuitry to: identify a flow, the flow including traffic diverted from a core cloud service of a network to be serviced by an edge node closer to an edge of the network than to the core of the network; receive telemetry related to the flow, the telemetry including fine-grained and flow-level network monitoring data for the flow; operate the AI circuit to predict, from the telemetry, a future service-level demand for the edge node; and cause a service parameter of the edge node to be tuned according to the prediction.
1 . A system configurable for use in association with providing, via at least one wireless network, at least one cloud service to mobile user equipment, the mobile user equipment to be associated with at least one subscriber associated with at least one quality of service requirement, 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 the mobile user equipment;
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 mobile user equipment; 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 periodically predict the anticipated resource utilization based upon at least one machine learning model;
the anticipated resource utilization is associated with the at least one quality of service requirement; and
the at least one resource allocation action is associated with virtual resources.
2 . The system of claim 1 , wherein:
the at least one subscriber is associated with at least one tenant; and
the at least one tenant is associated with at least one service level agreement.
3 . The system of claim 1 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with mobile edge computing and/or multi-access edge computing.
4 . The system of claim 1 , wherein:
the at least one cloud service comprises at least one streaming media service.
5 . The system of claim 1 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with an Evolved Packet Core network.
6 . The system of claim 1 , wherein:
the system is also to perform dynamic resource allocation in response to current resource demand associated with the providing of the at least one cloud service;
the prediction circuitry is to predict periodically, based upon the current resource utilization data and/or the historical data, the anticipated resource utilization; and/or
the system is also to implement, at least in part, the at least one resource allocation action.
7 . The system of claim 1 , further comprising:
at least one data center that comprises, at least in part, one or more of:
the telemetry circuitry;
the prediction circuitry; and/or
the proactive resource allocation circuitry.
8 . One or more non-transitory machine-readable media storing instructions that are executable by at least one machine, the at least one machine to be associated with a system for use in association with providing, via at least one wireless network, at least one cloud service to mobile user equipment, the mobile user equipment to be associated with at least one subscriber associated with at least one quality of service requirement, the system comprising telemetry circuitry, prediction circuitry, and proactive resource allocation circuitry, the instructions, when executed, by the at least one machine, resulting in the system being configurable for performance of operations comprising:
accessing, via the telemetry circuitry, 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 the mobile user equipment;
predicting, using the prediction circuitry, 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 mobile user equipment; and
proactively determining, using the proactive resource allocation circuitry, 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 periodically predict the anticipated resource utilization based upon at least one machine learning model;
the anticipated resource utilization is associated with the at least one quality of service requirement; and
the at least one resource allocation action is associated with virtual resources.
9 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the at least one subscriber is associated with at least one tenant; and
the at least one tenant is associated with at least one service level agreement.
10 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with mobile edge computing and/or multi-access edge computing.
11 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the at least one cloud service comprises at least one streaming media service.
12 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with an Evolved Packet Core network.
13 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the system is also to perform dynamic resource allocation in response to current resource demand associated with the providing of the at least one cloud service;
the prediction circuitry is to predict periodically, based upon the current resource utilization data and/or the historical data, the anticipated resource utilization; and/or
the system is also to implement, at least in part, the at least one resource allocation action.
14 . The one or more non-transitory machine-readable media of claim 8 , wherein:
the system also comprises at least one data center that comprises, at least in part, one or more of:
the telemetry circuitry;
the prediction circuitry; and/or
the proactive resource allocation circuitry.
15 . A method implemented using a system, the system to be used in association with providing, via at least one wireless network, at least one cloud service to mobile user equipment, the mobile user equipment to be associated with at least one subscriber associated with at least one quality of service requirement, the system comprising telemetry circuitry, prediction circuitry, and proactive resource allocation circuitry, the method comprising:
accessing, via the telemetry circuitry, 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 the mobile user equipment;
predicting, using the prediction circuitry, 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 mobile user equipment; and
proactively determining, using the proactive resource allocation circuitry, 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 periodically predict the anticipated resource utilization based upon at least one machine learning model;
the anticipated resource utilization is associated with the at least one quality of service requirement; and
the at least one resource allocation action is associated with virtual resources.
16 . The method of claim 15 , wherein:
the at least one subscriber is associated with at least one tenant; and
the at least one tenant is associated with at least one service level agreement.
17 . The method of claim 15 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with mobile edge computing and/or multi-access edge computing.
18 . The method of claim 15 , wherein:
the at least one cloud service comprises at least one streaming media service.
19 . The method of claim 15 , wherein:
the providing of the at least one cloud service to the mobile user equipment is associated with an Evolved Packet Core network.
20 . The method of claim 15 , wherein:
the system is also to perform dynamic resource allocation in response to current resource demand associated with the providing of the at least one cloud service;
the prediction circuitry is to predict periodically, based upon the current resource utilization data and/or the historical data, the anticipated resource utilization; and/or
the system is also to implement, at least in part, the at least one resource allocation action.
21 . The method of claim 15 , wherein:
the system also comprises at least one data center that comprises, at least in part, one or more of:
the telemetry circuitry;
the prediction circuitry; and/or
the proactive resource allocation circuitry.