Hewlett Packard Enterprise Development LP

Thomas Golway

Prabhanjan Gururaj

Nitin Singla

Yashavantha Nagaraju Naguvanahalli

Vinay Sahadevappa Banakar

Gururaja Grandhi

Sandeep Panda

Grandhi Gururaja

Sharath Gopinath

Examples described herein relate to a system including a BC network associated with a plurality of entities in a defined geographic scope. A first entity of the plurality of entities includes a connected vehicle that generates vehicular data. The BC network is governed by a smart contract. The smart contract includes a data sharing policy defined by a user of the connected vehicle, wherein the data sharing policy allows the user of the connected vehicle to selectively share the vehicular data with one or more other entities of the plurality of entities.

Blockchain-based system for connected vehicles

A distributed ledger system is described. The system includes a provider to provide a plurality of infrastructure resources, a client to access a first set of the plurality of resources; and an operator platform to facilitate access to the first set of resources from the providers, including a processor to generate one or more blocks of transaction data associated with each resource in the first set of resources to update chain code and measure of usage the first set of resources measure, wherein the chain code is stored in a distributed ledger database shared between the operator platform and the client.

Distributed ledger technology platform

A system is described. The system includes a distributed ledger peer-to-peer blockchain fabric comprising a plurality of peer nodes, including a first peer node to receive a workload package, examine the workload package to determine a role of the first peer node within a cluster configuration of a first set of the plurality of peer nodes and execute the workload package at resources included in the first peer node.

Peer-to-peer blockchain fabric management mechanism

Intelligent orchestration of disaggregated applications includes identifying available processing resources capable of performing the disaggregated applications; triggering each of the available processing resources to query corresponding dependent processing resources of the available processing resources to provide service levels and pricing for performing the disaggregated applications according to class of service; selecting by a matching tool qualified processing resources from the available processing resources and the corresponding dependent processing resources based on the service levels and the pricing; executing a contract between an orchestration tool and each of the selected qualified processing resources; and upon execution of the contract, triggering the selected qualified processing resources to execute the disaggregated applications.

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Plandome, NY, United States of America

Thomas Golway