Cognitive blockchain automation and management

Patent metadata

Field	Value
Publication number	US-10452998-B2
Application number	US-201715462877-A
Country	US
Kind code	B2
Filing date	Mar 19, 2017
Priority date	Mar 19, 2017
Publication date	Oct 22, 2019
Grant date	Oct 22, 2019

Abstract

A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification and information retrieval. One example method of operation may include identifying one or more analytic processes to process blockchain data, determining a primary type of data analytic to be performed by the one or more analytic processes, selecting a type of data store to use for performing the one or more data analytic processes based on the primary type of data analytic, accessing the blockchain data, applying the one or more analytic processes, and storing results of the applied analytic processes in a database, file or dashboard. The analytic data may be realized in any manner or preference requested.

First claim

What is claimed is:

1. A method, comprising:
identifying one or more analytic processes to process blockchain data stored in a blockchain;
determining a primary type of data analytic to be performed by the one or more analytic processes;
selecting a type of data store to use for performing the one or more data analytic processes based on one or more predefined rules for configuring the blockchain and information regarding computing performance of the blockchain;
accessing the blockchain data;
applying the one or more analytic processes; and
storing results of the applied analytic processes in a database, file or dashboard.

2. The method of claim 1 , further comprising:
creating one or more containers; and
selecting at least one of the one or more analytic processes to be processed via the one or more containers.

3. The method of claim 2 , further comprising:
determining an amount of memory and processor usage required to process the analytic processes.

4. The method of claim 3 , further comprising:
creating one or more virtual machines or using the one or more containers to execute the one or more analytic processes based on the determined amount of memory and the processor usage required to process the one or more analytic processes.

5. The method of claim 1 , further comprising:
accessing one or more of an asset structure data, smart contracts, transactions types, transaction parties and security data on the blockchain; and
creating results of the applied analytic processes based on one or more of the asset structure data, the smart contracts, the transactions types, the transaction parties and the security data on the blockchain.

6. The method of claim 1 , further comprising:
provisioning the selected type of data store for the blockchain data that is matched to perform the one or more analytic processes.

7. An apparatus, comprising:
a hardware-implemented processor configured to:
identify one or more analytic processes to process blockchain data stored in a blockchain;
determine a primary type of data analytic to be performed by the one or more analytic processes;
select a type of data store to use for the one or more data analytic processes based on one or more predefined rules for configuring the blockchain and information regarding computing performance of the blockchain;
access the blockchain data;
apply the one or more analytic processes; and
store results of the applied analytic processes in a database, file or dashboard.

8. The apparatus of claim 7 , wherein the hardware-implemented processor is further configured to:
create one or more containers, and
select at least one of the one or more analytic processes to be processed via the one or more containers.

9. The apparatus of claim 8 , wherein the hardware-implemented processor is further configured to:
determine an amount of memory and processor usage required to process the analytic processes.

10. The apparatus of claim 9 , wherein the hardware-implemented processor is further configured to:
create one or more virtual machines or using the one or more containers to execute the one or more analytic processes based on the determined amount of memory and the processor usage required to process the one or more analytic processes.

11. The apparatus of claim 7 , wherein the hardware-implemented processor is further configured to:
access one or more of an asset structure data, smart contracts, transactions types, transaction parties and security data on the blockchain, and
create results of the applied analytic processes based on one or more of the asset structure data, the smart contracts, the transactions types, the transaction parties and the security data on the blockchain.

12. The apparatus of claim 7 , wherein the hardware-implemented processor is further configured to:
provision the selected type of data store for the blockchain data that is matched to perform the one or more analytic processes.

13. A non-transitory computer readable storage medium configured to store at least one instruction that when executed by a processor causes the processor to perform:
identifying one or more analytic processes to process blockchain data stored in a blockchain;
determining a primary type of data analytic to be performed by the one or more analytic processes;
selecting a type of data store to use for performing the one or more data analytic processes based on one or more predefined rules for configuring the blockchain and information regarding computing performance of the blockchain;
accessing the blockchain data;
applying the one or more analytic processes; and
storing results of the applied analytic processes in a database, file or dashboard.

14. The non-transitory computer readable storage medium of claim 13 , further configured to store at least one instruction that when executed by the processor causes the processor to perform:
creating one or more containers; and
selecting at least one of the one or more analytic processes to be processed via the one or more containers.

15. The non-transitory computer readable storage medium of claim 14 , further configured to store at least one instruction that when executed by the processor causes the processor is further configured to perform:
determining an amount of memory and processor usage required to process the analytic processes.

16. The non-transitory computer readable storage medium of claim 15 , further configured to store at least one instruction that when executed by the processor causes the processor to perform:
creating one or more virtual machines or using the one or more containers to execute the one or more analytic processes based on the determined amount of memory and the processor usage required to process the one or more analytic processes.

17. The non-transitory computer readable storage medium of claim 13 , further configured to store at least one instruction that when executed by the processor causes the processor to perform:
accessing one or more of an asset structure data, smart contracts, transactions types, transaction parties and security data on the blockchain; and
creating results of the applied analytic processes based on one or more of the asset structure data, the smart contracts, the transactions types, the transaction parties and the security data on the blockchain.

18. The non-transitory computer readable storage medium of claim 13 , further configured to store at least one instruction that when executed by the processor causes the processor to perform:
provisioning the selected type of data store for the blockchain data that is matched to perform the one or more analytic processes, and wherein the primary type of data analytic is based on one or more of predefined rules and computing performance.

Assignees

• IBM

Inventors

• Cuomo Gennaro A
• Dillenberger Donna N
• Liu Rong
• Vaculin Roman

Classifications

• G06F21/645

  using a third party · CPC title

• H04L9/3297

  involving time stamps, e.g. generation of time stamps · CPC title

• H04L9/3236

  using cryptographic hash functions · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• H04L2209/38

  Electricity · mapped topic