17858670. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR INFORMATION-CENTRIC NETWORKING simplified abstract (Dell Products L.P.)
Contents
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR INFORMATION-CENTRIC NETWORKING
Organization Name
Inventor(s)
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR INFORMATION-CENTRIC NETWORKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17858670 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR INFORMATION-CENTRIC NETWORKING
Simplified Explanation
The abstract describes a method, electronic device, and computer program for information-centric networking. The method involves using a memory layer in a machine learning model to obtain future information based on an environmental state obtained from information-centric networking at a future moment. The machine learning model is then trained using this future information to improve the cache mechanism in information-centric networking.
- The method uses a memory layer in a machine learning model to obtain future information in information-centric networking.
- The machine learning model is trained using the future information to improve the cache mechanism.
- This approach allows for more efficient information-centric networking based on reinforcement learning.
Potential Applications
- This technology can be applied in various information-centric networking systems to improve cache mechanisms.
- It can enhance the performance and efficiency of content delivery networks (CDNs) by predicting future information needs.
- It can be used in smart cities to optimize data caching and improve network performance.
Problems Solved
- Traditional information-centric networking systems may not efficiently utilize caching mechanisms.
- Predicting future information needs in information-centric networking can be challenging.
- This technology solves these problems by using a machine learning model and future information to improve the cache mechanism.
Benefits
- The use of future information in training the machine learning model improves the efficiency of information-centric networking.
- It allows for better prediction of future information needs, leading to more effective caching.
- This technology can optimize network performance, reduce latency, and enhance user experience.
Original Abstract Submitted
Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information-centric networking. In the method, a memory layer in a machine learning model is used to obtain, on the basis of an environmental state obtained from information-centric networking at a future moment, future information associated with a memory layer corresponding to the future moment, and the machine learning model is trained using the future information. By means of the solution, a model trained using future information can be obtained. By use of the model, information-centric networking based on reinforcement learning achieves a more efficient cache mechanism.
