COMBINING MERKLE TREES IN GRAPH DATABASES

Patent №

US 10,242,065

Granted

2019-03-26

Filed 2016

Owner

EMC CORPORATION

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15197863

Combining a Merkle tree with a graph database by defining a Merkle tree with each node having a hashed value of the metadata for the node and any children of that node, associating non-hashed data with the hashed data for each node, wherein the non-hashed data has an up-pointer from a child node to any of its immediate parent node, and defining bi-directional edges between the nodes of the Merkle tree having a graph database structure to create a reference for the up-pointers associated with each Merkle tree node. The bi-directional edges with up-pointers along with the Merkle tree hash scheme allows efficient traversal of the tree where the hash values indicate non-changed nodes to prevent traversing the database, and further allows efficient path definitions by allowing database processes to walk up edges.

Knowledge representationG06F 16/24575G06F 16/2246G06F 16/9024H04L 9/0894H04L 9/50

AI classification

Knowledge representation0.85
AI hardware0.00
Planning0.00
Evolutionary computation0.00
Vision0.00
Natural language0.00
Speech0.00
Machine learning0.00

Ownership

EMC CORPORATION

assignment · 390520738

Assignors

STARLING, JENNIFER, BRENNER, ADAM, NORTON, JEFFREY, AUCHMOODY, SCOTT, MALAMUT, MARK D

On an employer assignment, the assignors are typically the inventors.

From the same owner

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