View source for International business machines corporation (20240129207). IDENTIFYING THE USER EXPERIENCE AND SLA FULFILLMENT IMPACT OF CONTROL APPLICATIONS PRIOR TO DEPLOYMENT simplified abstract

=IDENTIFYING THE USER EXPERIENCE AND SLA FULFILLMENT IMPACT OF CONTROL APPLICATIONS PRIOR TO DEPLOYMENT=


==Organization Name==

[[:Category:international business machines corporation|international business machines corporation]]


[[Category:international business machines corporation]]

==Inventor(s)==

[[:Category:Maja Curic of Munich (DE)|Maja Curic of Munich (DE)]][[Category:Maja Curic of Munich (DE)]]

[[:Category:Sagar Tayal of Ambala City (IN)|Sagar Tayal of Ambala City (IN)]][[Category:Sagar Tayal of Ambala City (IN)]]

[[:Category:Alecio Pedro Delazari Binotto of Munich (DE)|Alecio Pedro Delazari Binotto of Munich (DE)]][[Category:Alecio Pedro Delazari Binotto of Munich (DE)]]

==IDENTIFYING THE USER EXPERIENCE AND SLA FULFILLMENT IMPACT OF CONTROL APPLICATIONS PRIOR TO DEPLOYMENT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240129207 titled 'IDENTIFYING THE USER EXPERIENCE AND SLA FULFILLMENT IMPACT OF CONTROL APPLICATIONS PRIOR TO DEPLOYMENT

==Simplified Explanation==

The computer-implemented method described in the abstract involves analyzing the user experience impact of deploying a control application in a programmable network using digital twins and generating deployment recommendations based on this analysis.

* Intercept deployment of control application in programmable network
* Perform user experience analysis based on digital twins
* Generate deployment recommendation based on user experience impact
* Deploy control application based on recommendation

== Potential Applications ==
The technology described in this patent application could be applied in various industries such as telecommunications, cloud computing, and IoT, where the deployment of control applications in programmable networks is common.

== Problems Solved ==
This technology helps in optimizing the deployment of control applications by considering the user experience impact, which can lead to better performance, efficiency, and overall satisfaction for end-users.

== Benefits ==
The benefits of this technology include improved user experience, optimized deployment of control applications, enhanced network performance, and increased efficiency in managing programmable networks.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in network management software for enterprises, service providers, and data centers, where optimizing user experience and network performance is crucial.

== Possible Prior Art ==
One possible prior art for this technology could be related to network optimization algorithms and user experience analysis tools used in the field of network management and software-defined networking.

=== What are the specific digital twins used in the user experience analysis? ===
The specific digital twins used in the user experience analysis are not mentioned in the abstract. It would be helpful to know more about the types of digital twins and how they are utilized in this context.

=== How does the generated user experience-based control application deployment recommendation improve network performance? ===
The abstract does not provide details on how the generated user experience-based control application deployment recommendation leads to improved network performance. Understanding the specific mechanisms or algorithms involved in this process would be beneficial for a deeper understanding of the technology.


==Original Abstract Submitted==

embodiments of the invention provide a computer-implemented method that includes intercepting, using a controller of a programmable network (pn), a deployment of a control application in the pn. responsive to intercepting the deployment of the control application, a user experience (ue) analysis is performed. the ue analysis includes determining, based at least in part on a set of digital twins, a ue impact of the control application; and, based at least in part on the ue impact, generating a ue-based control application deployment recommendation. the ue analysis further includes deploying the control application based at least in part on the ue-based control application deployment recommendation.



[[Category:H04L41/5019]]
[[Category:H04L41/5009]]