公开(公告)号：US20220269550A1

公开(公告)日：2022-08-25

申请号：US17662980

申请日：2022-05-11

申请人： NASDAQ, INC.

发明人： John VACCARO ,  Charles MACK ,  Andrey TSIPORUKHA ,  Tal COHEN ,  Andrew OPPENHEIMER ,  Kyle PREM

IPC分类号： G06F9/54 ,  G06Q40/04 ,  G06F16/901 ,  H04L49/901 ,  H04L67/1029

摘要： A distributed computer system is provided. The distributed computer system includes at least one sequencer computing node and at least one matcher computing node. Electronic data messages are sequenced by the sequencer and sent to at least matcher computing node. The matcher computing node receives the electronic data messages and a reference value from an external computing source. New electronic data messages are put into a pending list before they can be acted upon by the matcher. A timer is started based on a comparison of the reference value (or a calculation based thereon) to at least one attribute or value of a new electronic data message. When the timer expires, the electronic data message is moved from the pending list to another list—where it is eligible to be matched against other, contra-side electronic data messages.

公开(公告)号：US20240111569A1

公开(公告)日：2024-04-04

申请号：US18302718

申请日：2023-04-18

申请人： NASDAQ, INC.

发明人： Josep PUIG RUIZ ,  Douglas HAMILTON ,  Diana KAFKES ,  Andrew ROOKS ,  Eugenio PIAZZA ,  Andrew OPPENHEIMER ,  Charles MACK ,  Michael O’ROURKE ,  Nick CIUBOTARIU ,  Edward COUGHLIN

IPC分类号： G06F9/46

CPC分类号： G06F9/466

摘要： 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.

公开(公告)号：US20240112001A1

公开(公告)日：2024-04-04

申请号：US18302671

申请日：2023-04-18

申请人： NASDAQ, INC.

发明人： Josep PUIG RUIZ ,  Douglas HAMILTON ,  Diana KAFKES ,  Andrew ROOKS ,  Eugenio PIAZZA ,  Andrew OPPENHEIMER ,  Charles MACK ,  Michael O’ROURKE ,  Nick CIUBOTARIU ,  Edward COUGHLIN ,  Jonas NORDIN ,  Alexander FREEMANTLE

IPC分类号： G06N3/049

CPC分类号： G06N3/049

摘要： 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.

公开(公告)号：US20240112034A1

公开(公告)日：2024-04-04

申请号：US18302712

申请日：2023-04-18

申请人： NASDAQ, INC.

发明人： Josep PUIG RUIZ ,  Douglas HAMILTON ,  Diana KAFKES ,  Andrew ROOKS ,  Eugenio PIAZZA ,  Andrew OPPENHEIMER ,  Charles MACK ,  Michael O’ROURKE ,  Nick CIUBOTARIU ,  Edward COUGHLIN ,  Jonas NORDIN ,  Alexander FREEMANTLE

IPC分类号： G06N3/084 ,  G06N3/045 ,  G06N3/092

CPC分类号： G06N3/084 ,  G06N3/045 ,  G06N3/092

摘要： 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.

公开(公告)号：US20240111568A1

公开(公告)日：2024-04-04

申请号：US18302624

申请日：2023-04-18

申请人： NASDAQ, INC.

发明人： Josep PUIG RUIZ ,  Douglas HAMILTON ,  Diana KAFKES ,  Andrew ROOKS ,  Eugenio PIAZZA ,  Andrew OPPENHEIMER ,  Charles MACK ,  Michael O’ROURKE ,  Nick CIUBOTARIU ,  Edward COUGHLIN

IPC分类号： G06F9/46 ,  G06F5/06

CPC分类号： G06F9/466 ,  G06F5/06

摘要： 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.

公开(公告)号：US20190026170A1

公开(公告)日：2019-01-24

申请号：US15997232

申请日：2018-06-04

申请人： Nasdaq, Inc.

发明人： John VACCARO ,  Charles MACK ,  Andrey TSIPORUKHA ,  Tal COHEN ,  Andrew OPPENHEIMER ,  Kyle PREM

IPC分类号： G06F9/54 ,  H04L12/879 ,  H04L29/08 ,  G06F17/30

摘要： A distributed computer system is provided. The distributed computer system includes at least one sequencer computing node and at least one matcher computing node. Electronic data messages are sequenced by the sequencer and sent to at least matcher computing node. The matcher computing node receives the electronic data messages and a reference value from an external computing source. New electronic data messages are put into a pending list before they can be acted upon by the matcher. A timer is started based on a comparison of the reference value (or a calculation based thereon) to at least one attribute or value of a new electronic data message. When the timer expires, the electronic data message is moved from the pending list to another list—where it is eligible to be matched against other, contra-side electronic data messages.