International Business Machines Corporation

Donna N Dillenberger

Donald W Schmidt

Gong Su

John C Dayka

Michael J Osias

Peter Grimm Sutton

Gennaro A Cuomo

Dimitrios Pendarakis

Roman Vaculin

Richard Harold Boivie

Kenneth Alan Goldman

James Alan Ruddy

Rong Liu

Mohit Kapur

Stephen John Heisig

Alyson Comer

Bernard R Pierce

Enriquillo Valdez

Jeffrey David Aman

Mark Francis Hulber

Dinesh C Verma

Martin Oberhofer

John Alan Bivens

Hong Min

Namik Hrle

Petr Novotny

Gary Stuart Puchkoff

Terri A Menendez

Greg A Dyck

David Carl Frank

Wayne Erwin Rhoten

David B Emmes

Arun Kwangil Iyengar

Nitin Gaur

Harold Wade Cain, Iii

Peter Bergersen Yocom

Curt Lee Cotner

Qi Zhang

Michel H T Hack

James Zu-Chia Teng

James Willis Pickel

Paul Michael Dantzig

Jeffrey William Josten

Michael E Baskey

Francis Nicholas Parr

Fenno F Heath, Iii

Alan Michael Webb

Susan Patricia Paice

Yuksel Gunal

Michael C Cox

Elizabeth Anne Hutchison

Robert F Berry

Rick A Hamilton, Ii

Clifford A Pickover

Brian M O'Connell

Keith R Walker

Eric Michel Levy-Abegnoli

Hubertus Franke

Joan LaVerne Mitchell

Douglas Morgan Freimuth

Jeffrey Mark Nick

Sambit Sahu

Jeffrey Paul Kubala

Alexander Zlatsin

Neal Martin Keller

Renu Tewari

David Ward

Timothy James Hahn

Joseph W Ligman

Salman Abdul Baset

Venkatraman Ramakrishna

Venkat K Balagurusamy

Mark A Nelson

Sandra K Johnson

Yefim Shuf

German Sergio Goldszmidt

Donald Fred Ault

Prashant Pradhan

John Elliott Arwe

Richard Henry Guski

Glyn Normington

Robert Vaupel

Ernest Scott Bender

Patrick S Botz

Michael Gary Spiegel

Matthew Harrison Tong

Ingolf Salm

David Vincent Bostjancic

Matthew S Thoennes

Guerney Douglass Hunt

Kenneth Edward Davies

Sahil Dureja

Margaret K LaBelle

Enriquilo Valdez

Robert M Greenberg

Mathew Thoennes

Peter Yocom

Improved techniques are disclosed for processing transactions or requests in a data processing system. For example, a method for processing requests in a system including a plurality of nodes includes the following steps. At least two nodes of the plurality of nodes receive a plurality of requests. The two nodes exchange information to determine an order for processing requests. The two nodes process the requests in accordance with the order. The order may include a total order or a partial order.

Highly ordered transaction processing

An example operation may include one or more receiving an entry at a blockchain-as-a-service (Baas) provider, determining whether the entry satisfies a first set of policies, and controlling placement of the entry into a first queue when the first set of policies is satisfied and into a second queue when the first set of policies is not satisfied, wherein the first queue is to store confirmed entries to be submitted for consensus without validation and the second queue is to store pending entries that require validation before consensus.

Information management in a decentralized database including a fast path service

An example operation may include one or more of hosting a first virtual node in a blockchain-as-a-service (Baas) provider, hosting a second virtual node in the Baas provider, and controlling transmission of information between the first virtual node and the second virtual node along an internal signal path of the Baas provider, wherein the information corresponds to a block in a blockchain that includes an entry for the first and second virtual nodes.

An example operation may include one or more of determining data at a first node satisfies a condition, obtaining a pointer to a shared storage area for the data, controlling generation of a block including the pointer, and appending the block to a blockchain without the data, wherein the first node corresponds to first virtual node hosted by blockchain-as-a-service (Baas) provider and wherein the first virtual node receives the data from a network coupled to the Baas provider.

An example operation may include one or more of receiving a transaction request into at least one node of a blockchain network, the transaction request comprising one or more transaction parameters and one or more encryption keys, processing the transaction request to produce a transaction result, encrypting one or more parameters of the transaction result to produce an encrypted transaction result, storing the encrypted transaction result in a data block of the blockchain, and storing the one or more encryption keys in one or more key stores of the blockchain network.

Right to be forgotten on an immutable ledger

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 a number of data parameters to extract from a blockchain based on a request for analytic data, creating one or more queries based on the data parameters, executing the one or more queries and retrieving the data parameters from the blockchain, identifying one or more permissions of a user account associated with the request for analytic data, and populating an interface with analytic figures based on the data parameters retrieved from the blockchain.

Automatic generating analytics from blockchain data

A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Detection of clarity markings in gemstones

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.

Cognitive blockchain automation and management

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 extracting obligation data from one or more of documents and rules, identifying transaction data from one or more blockchain transactions, creating one or more transaction contexts based on the transaction data, comparing the obligation data to the transaction data to identify whether the one or more transaction contexts are subject to the obligation data, and creating a notification including a current compliance status between the transaction contexts and the obligation data.

Cognitive regulatory compliance automation of blockchain transactions

An example operation may include one or more of executing a blockchain transaction which generates modifications to an asset, identifying a most recent version of the asset comprising most recent values of the asset before the blockchain transaction, generating a delta block for the executed blockchain transaction identifying differences between the modifications to the asset and the most recent version of the asset introduced by the blockchain transaction being executed while excluding unmodified values of the most recent version of the asset which are not modified by the executed blockchain transaction, and hashing the delta block to generate a hashed delta block and storing the hashed delta block on a distributed ledger.

Blockchain implementing delta storage

A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Secure processing environment for protecting sensitive information

A computer-implemented method according to one embodiment includes establishing a predetermined checkpoint and storing a log of duplicate read data in association with the predetermined checkpoint during a running of an application that is processing at least one data set, the duplicate read data including an image of all data retrieved from the at least one data set in response to a plurality of data reads made by the application before the predetermined checkpoint; identifying a first failure of the application; and restarting the application and performing a first replay of the application in response to the first failure.

Replaying processing of a restarted application

Systems, methods, and products for database system transaction management are provided herein. One aspect provides for annotating via a computing device at least one data object residing on the computing device utilizing at least one transaction tag, the at least one transaction tag being configured to indicate a status of an associated data object; processing at least one database transaction utilizing a transactional memory process, wherein access to the at least one data object is determined based on the status of the at least one data object; and updating the status of the at least one data object responsive to an attempted access of the at least one data object by the at least one database transaction. Other embodiments and aspects are also described herein.

Database system transaction management

A business application may provide a secure ledger update while maintaining anonymity and security from unauthorized third parties. One example may include receiving a new entry transaction to save data in a database/ledger. The example may also include receiving a request to add a record stored in a database with a new entry, adding the record by inserting the new entry, and enabling the new entry to be unchangeable from subsequent modification attempts based on an immutable attribute.

Database management system shared ledger support

An example operation may include one or more of identifying, via a ledger validation thread, a corrupted data block that is stored within a chain of blocks on a distributed ledger, selecting a blockchain peer from among a plurality of blockchain peers that have access to the distributed ledger, and retrieving a replacement data block from the selected peer, determining whether the replacement data block is valid based on one or more of a previously stored validation block associated with the chain of blocks, and, in response to determining the replacement data block is valid, replacing the corrupted data block with the replacement data block on the distributed ledger.

Runtime self-correction for blockchain ledgers

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Yorktown Heights, NY, United States of America

Donna N Dillenberger