Application-in-a-box for deployment and self-optimization of remote applications

Patent metadata

Field	Value
Publication number	US-2024314531-A1
Application number	US-202418605105-A
Country	US
Kind code	A1
Filing date	Mar 14, 2024
Priority date	Mar 15, 2023
Publication date	Sep 19, 2024
Grant date	—

Abstract

Systems and methods are provided for deploying applications within a wireless network infrastructure, including initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, edge computing device, centralized control module, and data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection. User equipment for communication with sensors and cameras is deployed using an edge device through the network connection. Application deployment is managed using a centralized control module including an edge cloud optimizer for allocating resources between an edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements. Computing resource allocation between the edge computing device and cloud resources is dynamically adjusted for application requirements and network conditions during automated application deployment and optimization.

First claim

What is claimed is:

1 . A method for deploying applications within a wireless network infrastructure, comprising:
initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, an edge computing device, a centralized control module, and a data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection; deploying, by the edge computing device, user equipment (UE) operable to communicate with a plurality of sensors and cameras through the established network connection; managing, by the centralized control module, an application deployment via an edge cloud optimizer configured to allocate resources between the edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements; and dynamically adjusting computing resource allocation between the edge computing device and cloud resources to meet the application requirements and network conditions during automated application deployment and optimization.

2 . The method of claim 1 , wherein the 5G wireless communication module is configured to perform network slicing to dedicate a portion of the network specifically for the deployed applications.

3 . The method of claim 1 , wherein the edge computing device further comprises a local data processing unit for performing initial analytics on data received from the sensors and cameras prior to transmission to the cloud resources.

4 . The method of claim 1 , wherein the centralized control module includes a graphical user interface for monitoring and controlling the deployment and management of the applications.

5 . The method of claim 1 , further comprising dynamically updating the application deployment based on changes in an operational environment as detected by the sensors and cameras.

6 . The method of claim 1 , further comprising optimizing data flow between the sensors, edge computing device, and cloud resources to minimize latency and maximize bandwidth efficiency.

7 . The method of claim 1 , wherein the setup procedure further includes a self-test to verify an integrity and readiness of the pre-configured hardware unit for deployment.

8 . The method of claim 1 , further comprising retrieving, by the centralized control module, additional applications from an application repository based on user selection through a user interface.

9 . A system for deploying applications within a wireless network infrastructure, comprising:
a pre-configured hardware unit equipped with a 5G wireless communication module, an edge computing device, a centralized control module with a graphical user interface, and one or more processor devices configured to access cloud resources, the processor being further configured for: initiating, by the centralized control module, a setup procedure upon receiving a deployment command, wherein the setup procedure includes activating the 5G wireless communication module to establish a network connection; deploying, by the edge computing device, user equipment (UE) operable to communicate with a plurality of sensors and cameras through the established network connection; managing, by the centralized control module, an application deployment via an edge cloud optimizer configured to allocate resources between the edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements; and dynamically adjusting computing resource allocation between the edge computing device and cloud resources to meet the application requirements and network conditions during automated application deployment and optimization.

10 . The system of claim 9 , wherein the 5G wireless communication module is configured to perform network slicing to dedicate a portion of the network specifically for the deployed applications.

11 . The system of claim 9 , wherein the edge computing device further comprises a local data processing unit for performing initial analytics on data received from the sensors and cameras prior to transmission to the cloud resources.

12 . The system of claim 9 , wherein the centralized control module includes a graphical user interface for monitoring and controlling the deployment and management of the applications.

13 . The system of claim 9 , wherein the processor is further configured for dynamically updating the application deployment based on changes in an operational environment as detected by the sensors and cameras.

14 . The system of claim 9 , wherein the processor is further configured for optimizing data flow between the sensors, edge computing device, and cloud resources to minimize latency and maximize bandwidth efficiency.

15 . The system of claim 9 , wherein the setup procedure further includes a self-test to verify an integrity and readiness of the pre-configured hardware unit for deployment.

16 . The system of claim 9 , wherein the processor is further configured for retrieving, by the centralized control module, additional applications from an application repository based on user selection through the user interface.

17 . A computer program product for deploying applications within a wireless network infrastructure, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, an edge computing device, a centralized control module, and a data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection; deploying, by the edge computing device, user equipment (UE) operable to communicate with a plurality of sensors and cameras through the established network connection; managing, by the centralized control module, an application deployment via an edge cloud optimizer configured to allocate resources between the edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements; and dynamically adjusting computing resource allocation between the edge computing device and cloud resources to meet the application requirements and network conditions during automated application deployment and optimization.

18 . The computer program product as recited in claim 17 , wherein the 5G wireless communication module is configured to perform network slicing to dedicate a portion of the network specifically for the deployed applications.

19 . The computer program product as recited in claim 17 , wherein the edge computing device further comprises a local data processing unit for performing initial analytics on data received from the sensors and cameras prior to transmission to the cloud resources.

20 . The computer program product as recited in claim 17 , further comprising dynamically updating the application deployment based on changes in an operational environment as detected by the sensors and cameras.

Assignees

• Nec Lab America Inc

Inventors

• Rao Kunal
• Sankaradas Murugan
• Coviello Giuseppe
• Hsiung Wang-Pin
• Chakradhar Srimat
• Devita Ciro Giuseppe
• Mellone Gennaro

Classifications

• H04L41/0806

  for initial configuration or provisioning, e.g. plug-and-play · CPC title

• H04L41/0896

  Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities (flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76) · CPC title

• H04L41/0895

  Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements · CPC title

• H04W4/50 Primary

  Service provisioning or reconfiguring · CPC title

• H04W24/02 Primary

  Arrangements for optimising operational condition · CPC title