18593390. ML BASED FAIR FLOW CONTROL MECHANISM FOR TCP IN CORE NETWORK simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

ML BASED FAIR FLOW CONTROL MECHANISM FOR TCP IN CORE NETWORK

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Vasanth Kanakaraj of Bangalore (IN)

Shreyanshu Agarwal of Bangalore (IN)

Issaac Kommineni of Bangalore (IN)

Vishal Murgai of Bangalore (IN)

Anish Nediyanchath of Bangalore (IN)

Gaurav Jha of Bangalore (IN)

Naveen Kumar Srinivasa Naidu of Bangalore (IN)

Sukhdeep Singh of Bangalore (IN)

ML BASED FAIR FLOW CONTROL MECHANISM FOR TCP IN CORE NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 18593390 titled 'ML BASED FAIR FLOW CONTROL MECHANISM FOR TCP IN CORE NETWORK

Simplified Explanation

The patent application describes a method for congestion control and reducing latency in a core network by using a control plane gateway to monitor and optimize key performance indicators (KPIs) for user plane gateways.

• The method involves monitoring KPI values for multiple user plane gateways in the core network.
• It uses a machine learning model to predict the optimal window size for each gateway based on the monitored KPI values.
• The optimal window size is then transmitted to the respective user plane gateway for implementation.

Key Features and Innovation

• Monitoring and optimizing KPIs for user plane gateways in a core network.
• Using machine learning to predict optimal window sizes for congestion control.
• Transmitting optimized settings to improve network performance.

Potential Applications

This technology can be applied in telecommunications networks, data centers, and other high-traffic network environments where congestion control and latency reduction are critical.

Problems Solved

• Congestion control in core networks.
• Reduction of latency for incoming data.
• Optimization of network performance based on real-time data.

Benefits

• Improved network efficiency.
• Enhanced user experience.
• Reduced downtime and delays in data transmission.

Commercial Applications

Title: "Optimized Congestion Control Technology for Core Networks" This technology can be utilized by telecommunications companies, cloud service providers, and large enterprises to enhance the performance of their networks, leading to better service delivery and customer satisfaction.

Prior Art

Readers interested in prior art related to this technology can explore research papers, patents, and industry publications on machine learning in network optimization, congestion control algorithms, and latency reduction techniques in core networks.

Frequently Updated Research

Researchers are continually exploring new methods and algorithms to further optimize congestion control and reduce latency in core networks. Stay updated on advancements in machine learning applications for network performance improvement.

Questions about Optimized Congestion Control Technology for Core Networks

How does this technology impact network efficiency?

This technology improves network efficiency by optimizing congestion control and reducing latency, leading to smoother data transmission and better overall performance.

What are the potential commercial applications of this technology?

The potential commercial applications include telecommunications networks, data centers, and other high-traffic network environments where congestion control and latency reduction are crucial for optimal operation.

Original Abstract Submitted

A method of providing congestion control and reducing latency of data incoming to a core network, the method performed by a control plane gateway, includes: monitoring values of key performance indicators (KPIs) associated with a plurality of user plane gateways in the core network; predicting, using a machine learning (ML) model, an optimal window size respectively for each of the plurality of user plane gateways, based on the monitored values of the KPIs; and transmitting the optimal window size to the respective user plane gateway in the plurality of user plane gateways.