Application Provisioning via Subscriber Filtering
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Solution Overview
Problem
Provisioning applications to all network subscribers without consideration for their usage intentions can lead to unnecessary network loading, especially as applications become more complex, causing inefficiencies and potential overloads.
Innovation Solution
A method and system that compile a list of potential target users for an application, filtering out those without association with the source subscriber, and transmitting inviting content to provision the application only on devices of users likely to use it, thereby optimizing network usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are provisioned to all network subscribers, then application availability is improved, but network loading increases unnecessarily
Solution Approach 1:
The system performs preliminary actions by compiling a target list of subscribers before provisioning applications. The provisioning system pre-identifies which subscribers are likely to use specific applications based on various criteria, and only then provisions the application to those targeted subscribers, avoiding unnecessary network loading from provisioning all subscribers.
Solution Approach 2:
Instead of provisioning applications to all subscribers (excessive action), the system provisions applications only to a partial subset of subscribers who are identified as target users. This partial provisioning approach reduces network loading while still achieving adequate application availability for those who actually need or will use the application.
2Adaptability or versatility
If applications are provisioned to all network subscribers, then application coverage is improved, but network efficiency deteriorates
Solution Approach 1:
The system performs preliminary filtering and target list compilation before application provisioning. By pre-identifying target subscribers based on association with source subscribers and other criteria, the system ensures application coverage is achieved for relevant users without the network efficiency penalty of provisioning all subscribers.
Solution Approach 2:
The system extracts or removes unnecessary provisioning actions from the overall process. By taking out the step of provisioning applications to all subscribers and replacing it with targeted provisioning to a filtered subset, the system maintains adequate application coverage while improving network efficiency by eliminating wasteful provisioning operations.
3Adaptability or versatility
If complex applications are provisioned broadly, then service variety is improved, but network overload increases
Solution Approach 1:
The system performs preliminary target identification and filtering before provisioning complex applications. By pre-determining which subscribers are appropriate targets for specific complex applications based on their association with source subscribers and other criteria, the system enables service variety to be offered without causing network overload from broad provisioning of resource-intensive applications.
Data Source
AI summary
A system that incorporates teachings of the present disclosure may include, for example, a controller can be operable to generate a target list of subscribers by filtering a list of potential target users of an application existing on a source device by removing target subscribers from the target list of subscribers according to selection criteria. The controller can be further operable to transmit to devices of the target list of subscribers content associated with the application that when accessed invites the target list of subscribers to use the application, and to provision the application on at least one device associated with the target list of subscribers. Other embodiments are disclosed.