Devices, methods, and computer-readable media for providing quality of service optimization via policy-based rearrangements

1. A device comprising:

a controller; and

memory, coupled to the controller, the memory having executable instructions stored thereon that when executed by the controller cause the controller to effectuate operations comprising:

grouping customers for rearrangement, wherein groupings comprise users in a home, business location, users in a neighborhood, users in a collections of neighborhoods, users in a metro area, and users in a region;

generating multiple alternative options for a particular group using policy rules;

using policy rules for the particular group to evaluate each option using common metrics, the common metrics comprising a measure of performance based on connectivity, a measure of performance based on bandwidth, a measure of performance based on a specific quality of service, a measure of performance based on delay, and a measure of performance based on jitter;

using policy rules to select the best option for the particular group, wherein the best option for the particular group comprises at least one of moving a call connected to a cellular network to a WIFI network or moving a call connected to a WIFI network to a cellular network; and

implementing the best option for the particular group.

2. The device of claim 1 , wherein the memory comprises policy rules and metric-related thresholds for at least one user profile.

3. The device of claim 2 , wherein the at least one user profile comprises user profiles obtained from at least one of:

a user policy system; or

a system that supports profiling from a sign-up process.

4. The device of claim 2 , wherein the at least one user profile comprises information about customers and information about the customer groups.

5. The device of claim 1 , wherein users share service provider resources.

6. The device of claim 1 , wherein the policy rules include at least one of rearranged resources, parameter changes, connection changes, or network routing changes.

7. The device of claim 1 , wherein metrics comprise at least one of basic performance measures, QoS-specific measures, values of determined metrics, estimations, algorithms, modeling, or simulations.

8. The device of claim 1 , wherein metric values are combined using a weighted summation to obtain an overall rating for each rearrangement option.

9. A tangible computer-readable storage medium having executable instructions stored thereon that when executed by a processor cause the processor to effectuate operations comprising:

storing user profiles;

grouping customers for potential rearrangement, wherein the grouping customers for potential rearrangement comprises grouping users in a home, users in a business location, users in a neighborhood, users in a collections of neighborhoods, users in a metro area, and users in a region;

generating multiple alternative options for a particular group using policy rules;

using policy rules for the particular group to evaluate each option using common metrics, the common metrics comprising a measure of performance based on connectivity, a measure of performance based on bandwidth, a measure of performance based on a specific quality of service, a measure of performance based on delay, and a measure of performance based on jitter;

using policy rules to select a best option for the particular group, wherein the best option for the particular group comprises at least one of moving a call connected to a cellular network to a WIFI network or moving a call connected to a WIFI network to a cellular network; and

implementing the best option for the particular group.

10. The tangible computer-readable storage medium of claim 9 , wherein the storing further comprises storing policy rules and metric-related thresholds for at least one user profile.

11. The tangible computer-readable storage medium of claim 10 , wherein the at least one user profile comprises user profiles obtained from at least one of:

a user policy system; or

a system that supports profiling from a sign-up process.

12. The tangible computer-readable storage medium of claim 10 , wherein the at least one user profile further comprises information about customers and the customer groups.

13. The tangible computer-readable storage medium of claim 9 , wherein users share service provider resources.

14. The tangible computer-readable storage medium of claim 9 , wherein the policy rules comprise at least one of rearranged resources, parameter changes, connection changes, or network routing changes.

15. The tangible computer-readable storage medium of claim 9 , wherein metrics comprise at least one of basic performance measures, QoS-specific measures, values of determined metrics, estimations, algorithms, modeling, or simulations.

16. The tangible computer-readable storage medium of claim 9 , the operations further comprising combining metric values using a weighted summation to obtain an overall rating for each rearrangement option.

17. A method comprising:

storing user profiles in a computer memory;

grouping customers for rearrangement, wherein groupings include users in a home, users in a business location, users in a neighborhood, users in a collections of neighborhoods, users in a metro area, and users in a region;

generating multiple alternative options for a particular group using policy rules;

using policy rules for the particular group to evaluate each option using common metrics, the common metrics comprising a measure of performance based on connectivity, a measure of performance based on bandwidth, a measure of performance based on a specific quality of service, a measure of performance based on delay, and a measure of performance based on jitter;

using policy rules to select a best option for the particular group, wherein the best option for the particular group comprises at least one of moving a call connected to a cellular network to a WIFI network or moving a call connected to a WIFI network to a cellular network; and

implementing the best option for the particular group.

18. The method of claim 17 , wherein the storing further comprises storing at least one of policy rules, customer and customer group data, metric-related thresholds for each user profile, or obtained user profiles.