Machine learning for a decentralized content fabric
US10917332B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2020 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Apr 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/56
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed are examples of systems, apparatus, devices, computer program products, and methods implementing aspects of machine learning for a decentralized content-centric system. In some implementations, predicted scores are obtained for a subset of fabric nodes of an overlay network. The scores can be based on prior training. A top scoring fabric node of the subset is identified as an egress node for communicating with a client. Also obtained are predicted scores for egress-origin segments defining paths in the overlay network between the egress node and origin nodes of the fabric nodes. The origin nodes store a content object part associated with digital content. One or more of the egress-origin segments is identified as being top scoring and is configured to be processed to identify one of the origin nodes for providing the content object part.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.