Rochester, Minnesota
United States
319
2022-12-22
The entities that hold a legal rights for patent applications filed by inventor Branson Michael J.:
Michael J. Branson from Rochester, US has applied for patents for these inventions. The list has both pending applications and granted patents:
Datastore aware streams computing
#2 | 2022-07-14Selective encryption of streaming data
#3 | 2022-05-05Dynamic replacement of degrading processing elements in streaming applications
#4 | 2022-02-24Identification and selection of the source of electric power
#5 | 2022-02-24Identification and selection of the source of electric power
#6 | 2022-01-27Selective encryption of data in motion
#7 | 2021-08-26Feedback tuples for detecting data flow anomalies in stream computing environment
#8 | 2020-09-17Staggering a stream application's deployment
#9 | 2020-07-30Integrating relational database temporal tables with a distributed programming environment
#10 | 2020-06-18Dynamic deployment placement of processing elements in a streaming data system
#11 | 2020-05-07INJECTING OUTLIER VALUES
#12 | 2020-04-02Operator isolation based on data security requirements
#13 | 2020-02-27Reducing flow delays in a data streaming application caused by lookup operations
#14 | 2020-02-13Window management based on a set of computing resources in a stream computing environment
#15 | 2020-01-23Controlling processing elements in a distributed computing environment
#16 | 2019-12-19Malicious application detection and prevention system for stream computing applications deployed in cloud computing environments
#17 | 2019-11-07Reducing flow delays in a data streaming application caused by lookup operations
#18 | 2019-08-22Feedback tuples for detecting data flow anomalies in stream computing environment
#19 | 2019-08-15Eviction stream for data joins
#20 | 2019-08-01Performance monitoring of wait times
#21 | 2019-06-27Data tuple testing and routing for a streaming application
#22 | 2019-05-09Assigning processing elements to stream computing servers
#23 | 2019-01-17Windowing across operators in a streaming environment
#24 | 2018-12-27Field-programmable gate array cards in a streaming environment
#25 | 2018-12-27Streams analysis tool and method
#26 | 2018-12-06Locking streaming operators
#27 | 2018-12-06Locking streaming operators
#28 | 2018-11-29Monitoring states of processing elements
#29 | 2018-11-22Streams analysis tool and method
#30 | 2018-11-22Streams analysis tool and method
#31 | 2018-09-20Replicating a virtual machine implementing parallel operators in a streaming application based on performance
#32 | 2018-09-06Limiting tuple creation at the tuple level
#33 | 2018-09-06OPERATION EFFICIENCY MANAGEMENT WITH RESPECT TO APPLICATION COMPILE-TIME
#34 | 2018-09-06OPERATION EFFICIENCY MANAGEMENT WITH RESPECT TO APPLICATION COMPILE-TIME
#35 | 2018-09-06Operation efficiency management with respect to application compile-time
#36 | 2018-09-06Operation efficiency management with respect to application run-time
#37 | 2018-08-30PROCESSING DATA TUPLES THAT HAVE MISSING DATA IN A STREAMING APPLICATION
#38 | 2018-08-09MANAGEMENT OF ENCRYPTION WITHIN PROCESSING ELEMENTS
#39 | 2018-07-19Reducing flow delays in a data streaming application caused by lookup operations
#40 | 2018-07-19Reducing flow delays in a data streaming application caused by lookup operations
#41 | 2018-07-12Tuple attribute expiry management
#42 | 2018-06-21Moving a portion of a streaming application to a public cloud based on sensitive data
#43 | 2018-05-15Operation efficiency management with respect to application compile-time
#44 | 2018-04-19Performance monitoring of wait times
#45 | 2018-03-29Rule-based dynamic resource adjustment for upstream and downstream processing units in response to a processing unit event
#46 | 2018-03-29Window management based on a set of computing resources in a stream computing environment
#47 | 2018-03-22Moving a portion of a streaming application to a public cloud based on sensitive data
#48 | 2018-03-22Suppressing stream functionality to expedite preferred data
#49 | 2018-03-15Moving a portion of a streaming application to a public cloud based on sensitive data
#50 | 2018-03-15Attribute locking of stream computing tuples
#51 | 2018-03-15Processing element management in a streaming data system
#52 | 2018-03-15Window management based on a set of computing resources in a stream computing environment
#53 | 2018-03-08Limiting data output from windowing operations
#54 | 2018-03-08Reducing redundant operations in a streaming environment
#55 | 2018-02-15Generating differences for tuple attributes
#56 | 2018-02-15Generating differences for tuple attributes
#57 | 2018-01-25Allocating operations of a streaming application to virtual machines based on monitored performance
#58 | 2017-12-21Management of encryption within processing elements
#59 | 2017-12-21Management of encryption within processing elements
#60 | 2017-11-30Dynamic window adjustments in a streaming environment
#61 | 2017-11-30Dynamic window adjustments in a streaming environment
#62 | 2017-11-30DISTRIBUTING WORK IN A STREAMING APPLICATION TO COMPUTER SYSTEMS ACCORDING TO SYSTEM RESOURCES
#63 | 2017-09-14Data tuple testing and routing for a streaming application
#64 | 2017-07-06Multifusion of a stream operator in a streaming application
#65 | 2017-06-29Deploying operators of a streaming application based on physical location attributes of a virtual machine
#66 | 2017-06-29Moving a portion of a streaming application to a public cloud based on sensitive data
#67 | 2017-06-15Management of encryption within processing elements
#68 | 2017-06-15Management of encryption within processing elements
#69 | 2017-06-15Unfusing operators from a streaming processing element to avoid congestion
#70 | 2017-06-15Monitoring states of processing elements
#71 | 2017-06-08Autonomic fusion changes based off data rates
#72 | 2017-06-08Field-programmable gate array cards in a streaming environment
#73 | 2017-06-06Export operator for a streaming application that exports from multiple operators on multiple parallel connections
#74 | 2017-06-01Injecting outlier values
#75 | 2017-05-25Multifusion of a stream operator in a streaming application
#76 | 2017-05-25Streaming breakpoint for data tuples based on resource usage
#77 | 2017-05-25Streaming breakpoint for data tuples based on resource usage
#78 | 2017-05-25Tearing down virtual machines implementing parallel operators in a streaming application based on performance
#79 | 2017-05-18Breakpoint for predicted tuple processing time in a streaming environment
#80 | 2017-05-18Breakpoint for predicted tuple processing time in a streaming environment
#81 | 2017-05-18Breakpoint for predicted tuple processing time in a streaming environment
#82 | 2017-05-16Unfusing operators from a streaming processing element to avoid congestion
#83 | 2017-05-04Dynamic reduction of stream backpressure
#84 | 2017-04-13Generating differences for tuple attributes
#85 | 2017-03-23Processing element placement tool
#86 | 2017-03-21Data tuple testing and routing for a streaming application
#87 | 2017-03-16Moving a portion of a streaming application to a public cloud based on sensitive data
#88 | 2017-03-16Moving a portion of a streaming application to a public cloud based on sensitive data
#89 | 2017-03-16Handling missing data tuples in a streaming environment
#90 | 2017-03-09Operator movement based on memory
#91 | 2017-03-02MOVING A PORTION OF A STREAMING APPLICATION TO A PUBLIC CLOUD BASED ON SENSITIVE DATA
#92 | 2017-03-02Dynamic window adjustments in a streaming environment
#93 | 2017-03-02Fusion recommendation for performance management in streams
#94 | 2017-03-02Fusion recommendation for performance management in streams
#95 | 2017-03-02Limiting memory in a distributed environment at an operator or operator grouping level
#96 | 2017-03-02Limiting memory consumption in a distributed environment at a group level
#97 | 2017-02-23Moving a portion of a streaming application to a public cloud based on sensitive data
#98 | 2017-02-23Streaming breakpoint for data tuples based on resource usage
#99 | 2017-02-23Streaming breakpoint for data tuples based on resource usage
#100 | 2017-02-07Breakpoint for predicted tuple processing time in a streaming environment
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