INTELLIGENT CONTENT MIGRATION WITH BORROWED MEMORY

Organization Name

micron technology, inc.

Inventor(s)

Kenneth Marion Curewitz of Cameron Park CA (US)

Ameen D. Akel of Rancho Cordova CA (US)

Samuel E. Bradshaw of Sacramento CA (US)

Sean Stephen Eilert of Penryn CA (US)

Dmitri Yudanov of Sacramento CA (US)

INTELLIGENT CONTENT MIGRATION WITH BORROWED MEMORY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345957 titled 'INTELLIGENT CONTENT MIGRATION WITH BORROWED MEMORY

Simplified Explanation: The patent application describes systems, methods, and apparatuses for intelligently migrating content involving borrowed memory between computing devices.

Key Features and Innovation:

Prediction of network connection degradation between computing devices with borrowed memory.
Migration decision for content based on predicted usage, scheduled operations, battery level, etc.
Memory usage history, battery usage history, location history used for decision-making.
Artificial neural network utilized for decision-making.
Content migration performed by remapping virtual memory regions in memory maps.

Potential Applications: This technology could be applied in mobile devices, IoT devices, cloud computing, and distributed computing systems.

Problems Solved: This technology addresses the problem of efficiently migrating content in systems with borrowed memory to prevent performance degradation.

Benefits:

Improved system performance and reliability.
Enhanced user experience with seamless content migration.
Optimized resource utilization in computing devices.

Commercial Applications: The technology could be valuable for companies developing mobile applications, cloud services, and IoT solutions, enhancing their product performance and user satisfaction.

Prior Art: Readers interested in prior art related to this technology could explore research papers on memory management, content migration, and artificial neural networks in computing systems.

Frequently Updated Research: Researchers are continually exploring advancements in memory management techniques, content migration strategies, and artificial intelligence algorithms for optimizing system performance.

Questions about Content Migration Technology: 1. What are the key factors considered in making migration decisions for content involving borrowed memory? 2. How does the use of artificial neural networks improve the efficiency of content migration in computing devices?

Original Abstract Submitted

systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. for example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. the migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.