Big data markers for stream labeling, identification and decoding
US9660967B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2017 |
| Grant date | May 23, 2017 |
| Priority date | — |
| Expiry date | Jan 9, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W84/18
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed towards a big data marker (BDM) model that provides label support, seeking, and decoding of arbitrary positions within small or large data streams. The features of the BDM model may be provided by a library having an easy-to-use application programming interface. The library may be considered an extension to existing data optimization and/or data encryption codecs that provides additional labeling and random access capabilities for encoding and decoding. The library enables labeling and seeking of single or multiple labels associated with various positions in a data stream, and allows encoding and decoding of full or partial streams. The library may be used with applications that already manage big data sets for archiving, logging, or backups. The library can also extend the capabilities of existing codecs by enabling the inclusion of labels and random access encoding/decoding via a common programming interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.