The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 9660967 B1

PDF
Full Text
Expired
Date of Patent:
May. 23, 2017

Filed:

Jan. 09, 2017
Applicant:

Centri Technology, Inc., Seattle, WA (US);

Inventors:

Luis Gerardo Paris, Maple Valley, WA (US);

Michael Patrick Mackey, Lake Stevens, WA (US);

Assignee:

Centri Technology, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 9/14 (2006.01); H04L 9/00 (2006.01); H04L 9/30 (2006.01); H04L 9/32 (2006.01); H04L 9/08 (2006.01); H04W 12/06 (2009.01); H04W 12/04 (2009.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
H04L 63/0464 (2013.01); H04L 9/006 (2013.01); H04L 9/0861 (2013.01); H04L 9/0894 (2013.01); H04L 9/14 (2013.01); H04L 9/30 (2013.01); H04L 9/3263 (2013.01); H04L 63/06 (2013.01); H04L 63/083 (2013.01); H04L 65/60 (2013.01); H04L 65/602 (2013.01); H04L 65/607 (2013.01); H04W 12/04 (2013.01); H04W 12/06 (2013.01); G06F 21/62 (2013.01); G06F 21/6218 (2013.01); G06F 2221/2141 (2013.01); H04L 2209/80 (2013.01);
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.


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