Nasdaq, Inc.

Nick Ciubotariu

Douglas Hamilton

Charles Mack

Michael O'Rourke

Jiayue Chen

Josep Puig Ruiz

Diana Kafkes

Andrew Rooks

Eugenio Piazza

Edward Coughlin

Shankar Raju

Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

Systems and methods of determining dynamic timers using machine learning

A digital asset custody system dynamically provisions clusters of multi-party computation (MPC) nodes to securely create different private key shares for signing digital asset transactions and generate blockchain addresses for digital asset owners (AOs). Each cluster of MPC nodes is configured for an AO and to operate in a plurality of computing environments. Each of the computing environments is associated with a respective different signing party, and each computing environment includes a respective one of plural MPC node initializers and a respective one of plural MPC node operators. An MPC controller and MPC node initializers perform operations to generate first configuration information for each MPC node in a first MPC cluster of MPC nodes. Each MPC node operator, based on the first configuration information, deploys one of the MPC nodes in the first MPC cluster in the computing environment corresponding to where the MPC node operator operates, such that the one MPC node in the first MPC cluster is deployed into a different one of the plurality of computing environments as compared to the computing environments into which the other MPC nodes in the first MPC cluster are deployed. Analogous operations are performed to generate second configuration information to deploy a second MPC cluster, third configuration information to deploy a third MPC cluster, etc. as desired.

Systems and methods to dynamically provision multi-party computation (MPC) nodes

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Austin, TX, United States of America

Nick Ciubotariu