System and method for managing network resources

Abstract

Methods of and systems for managing network resources enabling network services over a network and methods of and system for managing maintenance of network resources. The method comprises generating an expected performance level of the network services; accessing internal data relating to operations of the network and external data not relating to operations of the network; generating a prediction of a network service pattern based on the expected performance level of the network services, the internal data and the external data; identifying a decision scenario for orchestration of the network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern and availability of the network resources; and causing to adapt the network resources based on the decision scenario.

What is claimed is: 
     
         1 . A computer-implemented method for managing network resources enabling network services over a network, the method comprising:
 generating an expected performance level of the network services;   accessing internal data relating to operations of the network and external data not relating to operations of the network;   generating a prediction of a network service pattern based on the expected performance level of the network services, the internal data and the external data;   identifying a decision scenario for orchestration of the network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern and availability of the network resources; and   causing to adapt the network resources based on the decision scenario.   
     
     
         2 . The method of  claim 1 , further comprising:
 monitoring at least one of a customer experience, a network performance or the performance level of the network services; and   causing to modify the decision scenario based on the at least one of the customer experience, the network performance or the performance level of the network services.   
     
     
         3 . The method of  claim 1 , wherein the internal data comprises data created by a network service provider as a result of operating the network. 
     
     
         4 . The method of  claim 1 , wherein the internal data comprises data collected at edges or nodes of the network. 
     
     
         5 . The method of  claim 1 , wherein the internal data relates to at least one of performances or configurations of the network resources. 
     
     
         6 . The method of  claim 1 , wherein the internal data comprises at least one of network data, operations data, customer data or product data. 
     
     
         7 . The method of  claim 1 , wherein the external data comprises at least one of environmental data, regional data, industry data or financial data. 
     
     
         8 . The method of  claim 1 , wherein the network service pattern comprises a layout of the network. 
     
     
         9 . The method of  claim 1 , wherein the correlation is identified and mapped on a graph. 
     
     
         10 . The method of  claim 1 , wherein the availability of the network resources relates to at least one of a computing power, a storage capacity or a network capacity. 
     
     
         11 . The method of  claim 1 , wherein causing to adapt the network resources comprises re-arranging a layout of the network. 
     
     
         12 . A system for managing network resources enabling network services over a network, the system comprising:
 a network management and orchestration module configured to execute:
 generating an expected performance level of the network services; 
 accessing internal data relating to operations of the network and external data not relating to operations of the network; 
 generating a prediction of a network service pattern based on the expected performance level of the network services, the internal data and the external data; 
 identifying a decision scenario for orchestration of the network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern and availability of the network resources; and 
 causing to adapt the network resources based on the decision scenario. 
   
     
     
         13 . The system of  claim 12 , wherein the system further comprises a network maintenance module configured to execute:
 generating maintenance actions to be conducted on the network resources based on the internal data and the external data; and   generating planning of the maintenance actions.   
     
     
         14 . The system of  claim 12 , wherein the internal data comprises data created by a network service provider as a result of operating the network. 
     
     
         15 . The system of  claim 12 , wherein the internal data comprises data collected at edges or nodes of the network. 
     
     
         16 . The system of  claim 12 , wherein the internal data relates to at least one of performances or configuration of the network resources. 
     
     
         17 . The system of  claim 12 , wherein the internal data comprises at least one of network data, operations data, customer data or product data. 
     
     
         18 . The system of  claim 12 , wherein the external data comprises at least one of environmental data, regional data, industry data or financial data. 
     
     
         19 . The system of  claim 12 , wherein the network service pattern comprises a layout of the network. 
     
     
         20 . A non-transitory computer-readable medium, the non-transitory computer-readable medium comprising control logic which, upon execution by a processor, causes:
 generating an expected performance level of network services;   accessing internal data relating to operations of a network and external data not relating to operations of the network;   generating a prediction of a network service pattern based on the expected performance level of the network services, the internal data and the external data;   identifying a decision scenario for orchestration of network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern and availability of the network resources; and   causing to adapt the network resources based on the decision scenario.