Multi-tenant wireless network management based on traffic monitoring
Arrangements involving a multi-tenant network management system are presented. A first virtual wireless network can be operated as part of a wireless network. The first virtual wireless network can be mapped to a first set of operating level-of-service parameters. A second virtual wireless network can also be operated as part of the wireless network on behalf of a third entity. The second virtual wireless network can be mapped to a second set of level-of-service operating parameters. A traffic monitoring system may be present that monitors and compiles traffic-related statistics for the first virtual wireless network and the second virtual wireless network separately. A virtual network management system can use a machine learning arrangement to determine how to modify properties of the first virtual wireless network to satisfy the first set of level-of-service operating parameters.
1. A multi-tenant network management system, comprising:
a wireless network operated by a first entity;
a first virtual wireless network operated as part of the wireless network on behalf of a second entity, wherein:
the first virtual wireless network is mapped to a first set of operating level-of-service parameters;
a second virtual wireless network operated as part of the wireless network on behalf of a third entity, wherein:
the second virtual wireless network is mapped to a second set of level-of-service operating parameters that differ from the first set of level-of-service operating parameters;
a traffic monitoring system that monitors and compiles separate short-term statistics and long-term statistics for each of the first virtual wireless network and the second virtual wireless network, wherein short-term statistics cover a time period of less than one week and the long-term statistics cover a time period of more than one week;
a virtual network management system in communication with the traffic monitoring system, wherein:
the virtual network management system uses a machine learning arrangement to determine how to modify properties of the first virtual wireless network to satisfy the first set of level-of-service operating parameters, wherein the machine learning arrangement uses the short-term statistics and the long-term statistics for each of the first virtual wireless network and the second virtual wireless network as separate inputs; and
the virtual network management system modifies the first virtual wireless network based on the machine learning arrangement.
2. The multi-tenant network management system of claim 1 , wherein the virtual network management system modifying the first virtual wireless network comprises altering an amount of wireless bandwidth assigned to the first virtual wireless network.
3. The multi-tenant network management system of claim 1 , wherein the virtual network management system modifying the first virtual wireless network comprises altering a network topology of the first virtual wireless network to decrease latency.
4. The multi-tenant network management system of claim 1 , wherein the virtual network management system modifying the first virtual wireless network comprises assigning additional processing resources to the first virtual wireless network.
5. The multi-tenant network management system of claim 1 , wherein the virtual network management system modifying the first virtual wireless network comprises moving processing capabilities closer to an edge of the first virtual wireless network.
6. The multi-tenant network management system of claim 5 , wherein moving processing capabilities closer to the edge of the first virtual wireless network comprises switching a data center hosting the processing capabilities.
7. The multi-tenant network management system of claim 1 , wherein the machine learning arrangement is a neural network that provides an output.
8. The multi-tenant network management system of claim 1 , wherein the virtual network management system is further configured to output a long-term recommendation.
9. The multi-tenant network management system of claim 1 , wherein the virtual network management system is further configured to determine how to modify properties of the second virtual wireless network to satisfy the second set of level-of-service operating parameters.
10. The multi-tenant network management system of claim 1 , wherein the first virtual wireless network and the second virtual wireless network are each exclusively used for communication with Internet of Things (IoT) devices.
11. A method for managing a multi-tenant wireless network, the method comprising:
monitoring, by a wireless network, traffic associated with a first virtual wireless network operating on the wireless network, wherein:
the wireless network is operated by a first entity;
the first virtual wireless network is operated on behalf of a second entity; and
the first virtual wireless network is mapped to a first set of operating level-of-service parameters;
monitoring, by the wireless network, traffic associated with a second virtual wireless network operating on the wireless network, wherein:
the second virtual wireless network is operated on behalf of a third entity; and
the second virtual wireless network is mapped to a second set of level-of-service operating parameters that differ from the first set of level-of-service operating parameters;
compiling, by a virtual network management system, separate short-term statistics and long-term statistics for each of the first virtual wireless network and the second virtual wireless network, wherein short-term statistics cover a time period of less than one week and long-term statistics cover a time period of more than one week;
determining, by the virtual network management system, using a machine learning arrangement, how to modify properties of the first virtual wireless network to satisfy the first set of level-of-service operating parameters, wherein the machine learning arrangement uses the short-term statistics and the long-term statistics for each of the first virtual wireless network and the second virtual wireless network as separate inputs; and
modifying, by the virtual network management system, the first virtual wireless network based on the analyzing.
12. The method for managing the multi-tenant wireless network of claim 11 , wherein the virtual network management system modifying the first virtual wireless network comprises altering an amount of wireless bandwidth assigned to the first virtual wireless network.
13. The method for managing the multi-tenant wireless network of claim 11 , wherein the virtual network management system modifying the first virtual wireless network comprises altering a network topology of the first virtual wireless network to decrease latency.
14. The method for managing the multi-tenant wireless network of claim 11 , wherein the virtual network management system modifying the first virtual wireless network comprises assigning additional processing resources to the first virtual wireless network.
15. The method for managing the multi-tenant wireless network of claim 11 , wherein the virtual network management system modifying the first virtual wireless network comprises moving processing capabilities closer to an edge of the first virtual wireless network.
16. The method for managing the multi-tenant wireless network of claim 15 , wherein moving processing capabilities closer to the edge of the first virtual wireless network comprises switching a data center hosting the processing capabilities.
17. The method for managing the multi-tenant wireless network of claim 11 , wherein the determining is performing using a neural network.
18. The method for managing the multi-tenant wireless network of claim 11 , further comprising: determining, by the virtual network management system, how to modify properties of the second virtual wireless network to satisfy the second set of level-of-service operating parameters.