Noah Arliss
15Patents
3h-index
7Co-inventors
49Inventor score
Filing activity: Jan 26, 2012 → Apr 2, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10997177B1 | Distributed real-time partitioned MapReduce for a data fabric | Physics | 25 | Active |
| US9621409B2 | System and method for handling storage events in a distributed data grid | Physics | 3 | Active |
| US9164806B2 | Processing pattern framework for dispatching and executing tasks in a distributed computing grid | Physics | 3 | Active |
| US9652520B2 | System and method for supporting parallel asynchronous synchronization between clusters in a distributed data grid | Electricity | 2 | Active |
| US11870840B2 | Distributed partitioned map reduce using a data fabric | Physics | 1 | Active |
| US11709843B2 | Distributed real-time partitioned MapReduce for a data fabric | Physics | 0 | Active |
| US8843581B2 | Live object pattern for use with a distributed cache | Physics | 0 | Active |
| US9348668B2 | System and method for supporting a server-side event model in a distributed data grid | Physics | 0 | Active |
| US9659078B2 | System and method for supporting failover during synchronization between clusters in a distributed data grid | Electricity | 0 | Active |
| US10127077B2 | Event distribution pattern for use with a distributed data grid | Physics | 0 | Active |
| US9081839B2 | Push replication for use with a distributed data grid | Physics | 0 | Active |
| US9703853B2 | System and method for supporting partition level journaling for synchronizing data in a distributed data grid | Electricity | 0 | Active |
| US10929388B1 | Distributed multi-version partitioned mapreduce for a data fabric | Electricity | 0 | Active |
| US10423643B2 | System and method for supporting resettable acknowledgements for synchronizing data in a distributed data grid | Electricity | 0 | Active |
| US9602339B2 | System and method for supporting a server-side event model in a distributed data grid | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.