Predictive connectivity service layers

A network node for predictive learning in a cloud platform, the network node comprising:

• a processor;
• a memory configured to store computer-readable instructions for execution by the processor, the instructions for performing the steps of:
• receiving information relating to one or more previous actions of a user when the user is accessing the cloud platform through the network node;
• predicting a user behavior based on the one or more previous actions of a user when the user is accessing the cloud platform through the network node;
• and
• pre-populating user access information in the network node based on the predicted user behavior, wherein the predicted user behavior is used to allocate resources across multiple network servers in the cloud platform.

A non-transitory computer-readable medium comprising computer-readable instructions for execution by a processor in a network node that performs a method for predictive learning in a cloud platform, the method comprising:

• receiving information relating to one or more previous actions of a user when the user is accessing the cloud platform through the network node;
• predicting a user behavior based on the one or more previous actions of a user when the user is accessing the cloud platform through the network node;
• and
• pre-populating user access information in the network node based on the predicted user behavior, wherein the predicted user behavior is used to allocate resources across multiple network servers in the cloud platform.

A method for predictive learning in a cloud platform, the method comprising:

• receiving information from one or more network nodes of the cloud platform, the information relating to a user of the cloud platform, wherein the user accesses the cloud platform via one or more access points using one or more user equipment;
• predicting data to be requested by the user in the future based on the received information;
• and
• caching the predicted data such that the cached data is accessible to one or more access points used by the user, wherein the predicted data is used to allocate resources across multiple network servers in the cloud platform.

A method for predictive learning in a cloud platform, the method comprising:

• receiving information from one or more network nodes of the cloud platform, the information relating to at least one user of the cloud platform, wherein the at least one user accesses the cloud platform via one or more access points using one or more user equipments;
• predicting aggregate behavior of the at least one user based on the information;
• and
• allocating resources across multiple network servers in the cloud platform based on the predicted aggregate behavior.

A method for predictive learning at an access point in a cloud platform, the method comprising:

• providing information relating to one or more previous actions of a user when the user is accessing the cloud platform through the access point, wherein the one or more previous actions of the user is used to predict a user behavior;
• receiving at least one user access information based on the predicted user behavior, wherein the user access information is stored in the access point;
• and
• allocating resources across multiple network servers in the cloud platform based on the predicted user behavior.