Self-adjusting control loop

Abstract

In one embodiment, a method includes monitoring, by a control loop including a processor and a memory, a first environment. The control loop includes one or more predetermined control loop parameters. The method also includes receiving, by the control loop and in response to monitoring the first environment, first data from the first environment and receiving, by the control loop, information from an adaptation control loop. The method also includes determining, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop and automatically adjusting, by the control loop, the one or more predetermined control loop parameters. The method further includes determining, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.

What is claimed is: 
     
         1 . A method, comprising:
 monitoring, by an adaptation control loop comprising a processor and a memory, a second environment;   receiving, by the adaptation control loop and in response to the monitoring of the second environment, second data from the second environment;   sending to a control loop, by the adaptation control loop, information associated with:
 one or more predetermined adaption policies of the adaptation control loop, and 
 the second data, wherein the control loop automatically self-adjusts predetermined control loop parameters regarding a process in a first environment based at least in part on the information received from the adaptation control loop. 
   
     
     
         2 . The method of  claim 1 , wherein the predetermined control loop parameters comprise at least one of:
 a policy;   a data collection code portion; and   a threshold value.   
     
     
         3 . The method of  claim 1 , wherein automatically self-adjusting the predetermined control loop parameters comprises at least one of:
 adding at least one new parameter to the predetermined control loop parameters;   deleting at least one of the predetermined control loop parameters; and   replacing at least one of the predetermined control loop parameters with one or more alternate parameters.   
     
     
         4 . The method of  claim 1 , wherein:
 the first environment is a virtual network function (VNF);   the second environment is a virtual cloud service for an entity; and   the second data comprises at least one of:
 an internal operating condition of the entity; 
 personal information of the entity; 
 operating costs of the entity; and 
 security information of the entity. 
   
     
     
         5 . The method of  claim 1 , wherein the information is further associated with at least one of:
 a microservice;   a neural network;   artificial intelligence; and   machine learning.   
     
     
         6 . The method of  claim 1 , wherein the control loop comprises the adaptation control loop. 
     
     
         7 . The method of  claim 1 , wherein the control loop is a slave to the adaptation control loop. 
     
     
         8 . A non-transitory, machine-readable medium, comprising executable instructions that, when executed by an adaptation control loop implemented by a processing system including a processor, facilitate performance of operations, the operations comprising:
 monitoring a second environment;   receiving, in response to monitoring the second environment, second data from the second environment; and   sending, to a control loop, information comprising:
 one or more predetermined adaptation policies of the adaptation control loop, and 
 the second data, 
   wherein the control loop automatically self-adjusts predetermined control loop parameters regarding a process in a first environment based at least in part on the information received from the adaptation control loop.   
     
     
         9 . The non-transitory, machine-readable medium of  claim 8 , wherein the predetermined control loop parameters comprise at least one of:
 a policy;   a data collection code portion; and   a threshold value.   
     
     
         10 . The non-transitory, machine-readable medium of  claim 8 , wherein automatically self-adjusting the predetermined control loop parameters comprises at least one of:
 adding at least one new parameter to the predetermined control loop parameters;   deleting at least one of the predetermined control loop parameters; and   replacing at least one of the predetermined control loop parameters with one or more alternate parameters.   
     
     
         11 . The non-transitory, machine-readable medium of  claim 8 , wherein:
 the first environment is a virtual network function (VNF);   the second environment is a virtual cloud service for an entity; and   the second data comprises at least one of:
 an internal operating condition of the entity; 
 personal information of the entity; 
 operating costs of the entity; and 
 security information of the entity. 
   
     
     
         12 . The non-transitory, machine-readable medium of  claim 8 , wherein the information is further associated with at least one of:
 a microservice;   a neural network;   artificial intelligence; and   machine learning.   
     
     
         13 . The non-transitory, machine-readable medium of  claim 8 , wherein the control loop comprises the adaptation control loop. 
     
     
         14 . The non-transitory, machine-readable medium of  claim 8 , wherein the control loop is a slave to the adaptation control loop. 
     
     
         15 . The non-transitory, machine-readable medium of  claim 8 , wherein the processing system comprises a plurality of processors. 
     
     
         16 . A device implementing an adaptation control loop, the device comprising:
 a processing system including a processor; and   a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:   monitoring a second environment;   receiving, in response to monitoring the second environment, second data from the second environment; and   sending, to a control loop, information comprising:
 one or more predetermined adaptation policies of the adaptation control loop, and 
 the second data, 
   wherein the control loop automatically self-adjusts one or more predetermined control loop parameters regarding a process in a first environment based at least in part on the information received from the adaptation control loop.   
     
     
         17 . The device of  claim 16 , wherein the one or more predetermined control loop parameters comprise at least one of:
 a policy;   a data collection code portion; and   a threshold value.   
     
     
         18 . The device of  claim 16 , wherein the automatically self-adjusting the one or more predetermined control loop parameters comprises at least one of:
 adding at least one new parameter to the one or more predetermined control loop parameters;   deleting at least one of the one or more predetermined control loop parameters; and   replacing at least one of the one or more predetermined control loop parameters with one or more alternate parameters.   
     
     
         19 . The device of  claim 16 , wherein:
 the first environment is a virtual network function (VNF);   the second environment is a virtual cloud service for an entity; and   the second data comprises at least one of:
 an internal operating condition of the entity; 
 personal information of the entity; 
 operating costs of the entity; and 
 security information of the entity. 
   
     
     
         20 . The device of  claim 16 , wherein the control loop is a slave to the adaptation control loop and wherein the processing system comprises a plurality of processors.