International Business Machines Corporation

Globalfoundries Inc.

Ashish Jagmohan

Michele M Franceschini

Luis Alfonso Lastras-Montano

Krishna Chaitanya Ratakonda

Dake He

Yi-Min Chee

Hillery C Hunter

Moinuddin K Qureshi

Kyu-hyoun Kim

Charles Arthur Kilmer

Ligang Lu

Mayank Sharma

Ajay Ashok Deshpande

Ali Koc

Pavithra Harsha

Elham Khabiri

Richard B Segal

Roman Vaculin

Ramesh Ambat Gopinath

Demijan Klinc

Elisabeth Claire Paulson

Vadim Sheinin

Livio B Soares

Hugo M Krawczyk

Justin Gregory Manweiler

Luis A Lastras

Tal D Rabin

Abhilash Narendra

Camit Hazay

Julie MacNaught

Ryan Enderby

John Peter Karidis

Satyanarayana Venkata Nitta

Ravindranath Kokku

Rong Liu

Ibrahim M Elfadel

Aditya Vempaty

Jun Chen

Warren Edward Maule

Bulent Abali

Todd Edward Takken

John Alan Bivens

Blake G Fitch

Jian Lou

Ta-Hsin Li

Flavio Du Pin Calmon

Sara Rosenthal

Matthew Daniel Riemer

Swapna Buccapatnam Tirumala

Pamela N Luna

Piyawadee Sukaviriya

Mathew Wiesman

Alex Pomerenk

Joshua Pitkofsky

Valentina Salapura

Jing Jiang

John Steven Dodson

Kevin Charles Gower

Frank David Ferraiolo

Sambit Sahu

Peter Anthony Franaszek

Mark N Wegman

Kenneth Lee Wright

Chen-Yong Cher

Rakesh Mohan

Richard Thomas Goodwin

Anshul Sheopuri

Joshua W Knight

Karthikeyan Shanmugam

Wesley M Gifford

Janani Mukundan

Kanthi K Sarpatwar

Shota Aki

Yun Zhang

Moinuddin K A Qureshi

John J Ambrose

Suzanne M Rodeman

Yam Huo Ow

Anshul Seghal

An example operation may include one or more of generating, by a blockchain node, an asset containment world-state by execution of a linear-time ingestion algorithm, detecting, by the blockchain node, an asset aggregation or disaggregation event, updating, by the blockchain node, the world-state based on the asset aggregation or disaggregation event, and computing supply-chain metrics based on the updated world-state.

Computation of containment relationships

An example operation may include one or more of receiving, by a resolver node, asset data to be recorded on a blockchain, executing, by the resolver node, a smart contract to apply an asset data validation format to the asset data, rejecting, by the resolver node, non-conforming asset data from being stored on the blockchain based on the execution of the smart contract, and accepting the asset data validated by the smart contract.

Resolution of conflicting data

An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Upstream visibility in supply-chain

An example operation may include one or more of receiving, by a processing node, a plurality of documents reflecting at least one action performed on supply-chain assets at a location of an asset supply-chain node, translating, by the processing node, the plurality of the documents into a plurality of entry and exit events of the supply-chain assets, and generating incomplete or non-chronological supply chain assets-related data based on the plurality of the entry and the exit events.

Computation of supply-chain metrics

An example operation may include one or more of generating a hashed summary including hashes of one or more of a validation data set and hashes of data points chosen in previous iterations from producer nodes, and exposing the hashed summary to a plurality of producer nodes, receiving, iteratively, a plurality of requests from the plurality of producer nodes, respectively, where each request identifies a marginal value provided by a hash of a data sample available to a producer node, selecting a request received from a producer node based on a marginal value associated with the request, retrieving hashed data of the producer node associated with the selected request, and aggregating the hashed data of the producer node with the summary of hashes generated at one or more previous iterations to produce an updated summary, and storing the updated summary via a data block of a distributed ledger.

Artificial intelligence software marketplace

An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

An example operation may include one or more of receiving, by a first node, a freshness of goods data from a second node over a blockchain, and executing, by the first node, a smart contract to: calculate an initial order quantity based on a pre-set critical order number and a non-expiring goods order quantity and alter a final order quantity based on the initial order quantity and the freshness of the goods data.

Freshness visibility in supply-chain

Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora. The computer-implemented method can also comprise mapping, by the system, the received regulatory document or the received policy document to the control framework using a supervised machine learning technique.

Facilitating mapping of control policies to regulatory documents

An example operation may include one or more of receiving, by a resolver node, from at least one user node assets to be recorded on a blockchain, executing, by the resolver node, a smart contract to reject non-conforming assets from being stored on the blockchain based on a set of rules defined by an asset validation format, determining, by the resolver node, events and transactions related to the rejected assets, and allowing the at least one user node to tag the rejected assets, the events and the transactions related to the rejected assets as contradictory.

An example operation may include one or more of receiving a data file submitted by a node, the data file comprising information about an event-driven process for a chain of nodes, retrieving an entitlement mode of the data file from a data block that is stored among a hash-linked chain of data blocks on a distributed ledger, determining access rights of the data file with respect to another node in the chain of nodes based on the retrieved entitlement mode of the data file, and transmitting information about the event-driven process to the other node based on the determined access rights of the other node.

Dynamic entitlement for blockchain data

An example operation includes one or more of traversing, by a modeling node, a supply-chain downstream from an initial step, detecting, by a modeling node, a multi-organization step, and responsive to the detection of the multi-organization step, executing a branch prediction algorithm to determine downstream granted organizations.

Computation and prediction of linked access

An example operation may include one or more of releasing, by a subscription service node, at least one blockchain transaction to a plurality of subscribing blockchain nodes requiring direct entitlement access, executing, by the subscription service node, a smart contract to calculate secondary entitlements triggered by the at least one blockchain transaction, determining, by the subscription service node, portions of second entitlement data sets allowed to be accessed by a subset of the plurality of the subscribing blockchain nodes, and sending verification data to the plurality of the subscribing blockchain nodes for verification of the second entitlement data sets.

Subscription service for networks

There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction.

Managing high performance storage systems with hybrid storage technologies

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Irvington, NY, United States of America

Ashish Jagmohan