17930816. PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Original Abstract Submitted
PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Atul Mene of Morrisville NC (US)
Jeremy R. Fox of Georgetown TX (US)
Tushar Agrawal of West Fargo ND (US)
Sarbajit K. Rakshit of Kolkata (IN)
PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST - A simplified explanation of the abstract
This abstract first appeared for US patent application 17930816 titled 'PREDICTIVE DYNAMIC CACHING IN EDGE DEVICES WHEN CONNECTIVITY MAY BE POTENTIALLY LOST
Simplified Explanation
The patent application describes a technique for predictive dynamic caching in edge devices to mitigate potential network outages.
- Devices are registered to a cloud server via a network.
- Likelihood of network outage is predicted for registered devices.
- Data to cache is determined by analyzing traffic to the cloud server.
- Data is cached on edge devices in anticipation of network outage.
- Cached data is removed when network connectivity is restored.
Potential Applications
This technology could be applied in IoT devices, autonomous vehicles, and remote monitoring systems.
Problems Solved
- Minimizes data loss during network outages. - Improves user experience by ensuring access to critical data. - Reduces dependency on continuous network connectivity.
Benefits
- Enhanced reliability of connected devices. - Improved performance by reducing latency. - Cost-effective solution for managing data transmission.
Potential Commercial Applications
Edge Computing Solutions for IoT Devices
Original Abstract Submitted
Embodiments provide predictive dynamic caching in edge devices when connectivity may be potentially lost. A technique includes registering devices that require a connectivity to a cloud server via a network and predicting a likelihood of a network outage of the connectivity to the network for the devices having been registered. The technique includes determining data to cache for each of the devices by analyzing traffic for each of the devices to the cloud server, at least one piece of the data being currently in use by at least one of the devices. The technique includes responsive to predicting the likelihood of the network outage, caching the data to edge devices, and responsive to the connectivity to the network being restored, removing the data cached on the edge devices.
