公开(公告)号：US20200293920A1

公开(公告)日：2020-09-17

申请号：US16709598

申请日：2019-12-10

申请人： QOMPLX, Inc.

发明人： Jeffrey Chung ,  Jason Crabtree ,  Luka Jurukovski ,  Bhashit Parikh ,  Andrew Sellers

IPC分类号： G06N5/04 ,  G06F16/901 ,  G06N20/00

摘要： A system for predictive analysis of very large data sets using a distributed computational graph that intelligently combines processing of a current data stream with the ability to retrieve relevant stored data in such a way that conclusions or actions may be drawn in a predictive manner. The system has a pipeline construction module that allows a user to construct a streaming analytic workflow using modular building blocks, each of which represents either an environmental orchestration stage or a data processing stage of a streaming analytic workflow, and has a pipeline processing module that receives a data stream and constructs a directed computational graph by processing the data stream through the streaming analytic workflow. The directed computational graph is used to analyze the data stream.

公开(公告)号：US11539663B2

公开(公告)日：2022-12-27

申请号：US16412340

申请日：2019-05-14

申请人： QOMPLX, Inc.

发明人： Mike Chasman ,  Jeffrey Chung ,  Jason Crabtree ,  Luka Jurukovski ,  Richard Kelley ,  Artem Panasenkov ,  Andrew Sellers

IPC分类号： H04L9/40 ,  G06F8/61 ,  H04L41/0806 ,  G06F9/445 ,  G06F9/455 ,  H04L67/104 ,  H04L67/141 ,  H04L12/46 ,  G06N99/00

摘要： A system and method that uses midservers located between the business enterprise computer infrastructure and the cloud-based infrastructure to collect, aggregate, analyze, transform, and securely transmit data from a multitude of computing devices and peripherals at an external network to a cloud-based service.

公开(公告)号：US11507858B2

公开(公告)日：2022-11-22

申请号：US16709598

申请日：2019-12-10

申请人： QOMPLX, Inc.

发明人： Jeffrey Chung ,  Jason Crabtree ,  Luka Jurukovski ,  Bhashit Parikh ,  Andrew Sellers

IPC分类号： G06N5/04 ,  G06N20/00 ,  G06F16/901

摘要： A system for predictive analysis of very large data sets using a distributed computational graph that intelligently combines processing of a current data stream with the ability to retrieve relevant stored data in such a way that conclusions or actions may be drawn in a predictive manner. The system has a pipeline construction module that allows a user to construct a streaming analytic workflow using modular building blocks, each of which represents either an environmental orchestration stage or a data processing stage of a streaming analytic workflow, and has a pipeline processing module that receives a data stream and constructs a directed computational graph by processing the data stream through the streaming analytic workflow. The directed computational graph is used to analyze the data stream.