View source for 20240031427. CLOUD-NETWORK INTEGRATION ORIENTED MULTI-ACCESS EDGE COMPUTING ARCHITECTURE simplified abstract (SHENZHEN UNIVERSITY)

=CLOUD-NETWORK INTEGRATION ORIENTED MULTI-ACCESS EDGE COMPUTING ARCHITECTURE=


==Organization Name==

[[:Category:SHENZHEN UNIVERSITY|SHENZHEN UNIVERSITY]]


[[Category:SHENZHEN UNIVERSITY]]

==Inventor(s)==

[[:Category:Lu Wang of Shenzhen (CN)|Lu Wang of Shenzhen (CN)]][[Category:Lu Wang of Shenzhen (CN)]]

[[:Category:Jianhao Zhang of Shenzhen (CN)|Jianhao Zhang of Shenzhen (CN)]][[Category:Jianhao Zhang of Shenzhen (CN)]]

[[:Category:Kaishun Wu of Shenzhen (CN)|Kaishun Wu of Shenzhen (CN)]][[Category:Kaishun Wu of Shenzhen (CN)]]

[[:Category:Ting Wang of Shenzhen (CN)|Ting Wang of Shenzhen (CN)]][[Category:Ting Wang of Shenzhen (CN)]]

==CLOUD-NETWORK INTEGRATION ORIENTED MULTI-ACCESS EDGE COMPUTING ARCHITECTURE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240031427 titled 'CLOUD-NETWORK INTEGRATION ORIENTED MULTI-ACCESS EDGE COMPUTING ARCHITECTURE

==Simplified Explanation==

The present application discloses a cloud-network integration (CNI) oriented multi-access edge computing (MEC) architecture. 

* The architecture includes multiple edge computing nodes in the access network (AN) side.
* The physical channel of the AN side is divided into multiple subchannels, each supporting a media access control (MAC) access mode.
* A software-defined network (SDN) controller is included in the architecture.
* The SDN controller is configured to allocate resources of the subchannels at a physical layer and protocols at an MAC layer.
* The SDN controller also controls offloading at the edge computing nodes or a cloud center by a terminal user.

Potential applications of this technology:

* Improved computation offloading: The architecture allows for more effective computation offloading from edge computing nodes to a cloud center, enhancing the overall performance of the system.
* Service enhancement: The fine-grained control and cooperative management of network resources and computing resources enable better service delivery and enhancement.

Problems solved by this technology:

* Resource allocation: The architecture solves the problem of efficient allocation of resources in a multi-access edge computing environment, ensuring optimal utilization of network and computing resources.
* Computation offloading: The architecture addresses the challenge of effectively offloading computations from edge computing nodes to a cloud center, improving system performance and reducing latency.

Benefits of this technology:

* Improved performance: The architecture enables more effective computation offloading and resource allocation, leading to enhanced system performance and user experience.
* Efficient resource utilization: The fine-grained control and cooperative management of network and computing resources ensure optimal utilization, reducing wastage and improving efficiency.


==Original Abstract Submitted==

the present application discloses a cloud-network integration (cni) oriented multi-access edge computing (mec) architecture. an access network (an) side of the architecture is provided with a plurality of edge computing nodes, a physical channel of the an side is split into a plurality of subchannels with each of the subchannels supporting a media access control (mac) access mode, and a software defined network (sdn) controller is arranged in the architecture and is configured to allocate resources of the subchannels at a physical layer and protocols at an mac layer and control offloading at the edge computing nodes or a cloud center by a terminal user. the present application can carry out fine-grained control and cooperative management on network resources and computing resources, and achieve more effective computation offloading and service enhancement.



[[Category:H04L67/1001]]
[[Category:H04W72/542]]