Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
532 results about "Event stream" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Method and System for Accelerated Stream Processing
ActiveUS20090287628A1Lower latencyImprove latencyDigital computer detailsCode conversionBusiness ruleEvent stream
Disclosed herein is a method and system for hardware-accelerating various data processing operations in a rule-based decision-making system such as a business rules engine, an event stream processor, and a complex event stream processor. Preferably, incoming data streams are checked against a plurality of rule conditions. Among the data processing operations that are hardware-accelerated include rule condition check operations, filtering operations, and path merging operations. The rule condition check operations generate rule condition check results for the processed data streams, wherein the rule condition check results are indicative of any rule conditions which have been satisfied by the data streams. The generation of such results with a low degree of latency provides enterprises with the ability to perform timely decision-making based on the data present in received data streams.
Owner:IP RESERVOIR
Method and apparatus for implementing a real-time event management platform
ActiveUS7454459B1Multiple digital computer combinationsOffice automationExtensible markupDocumentation
A method and apparatus for implementing a real-time enterprise event management system is disclosed. The enterprise event management (EEM) system couples together various “event aware” computing resources that publish and subscribe to “events” that provide information about the state computing resources. All of the events are represented as eXtensible Mark-up Language (XML) documents. Chains of related events are known as “event streams”. In the real-time event management platform, the event streams are available to all other event-aware computing resources operating in the shared event driven environment. The three main components are a real-time messaging system or handing event messages, a rules engine for allowing specific event message handing rules to be created, and a enterprise directory schema for providing a comprehensive directory of all the available resources and the means in which the resources may be accessed.
Owner:MALIKIE INNOVATIONS LTD
System and method for recording collaborative information technology processes in an intelligent workload management system
InactiveUS20110126099A1Free computational resourceAgile and flexible managementInput/output for user-computer interactionDigital computer detailsService-oriented architectureKnowledge management
The system and method described herein for recording collaborative information technology processes in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may include one or more data structures that converge information describing interaction between managed entities and content that may relate to such interaction in time-ordered series of events. The time-ordered event stream may then be replayed in a real-time stream to remediate, roll back, or otherwise analyze the collaborative information technology processes.
Owner:MICRO FOCUS SOFTWARE INC
Recognizing event patterns from event streams
System and method for identifying a pattern. A method of the invention compiles a pattern description where the pattern description defines a series of a first event and a second event relating to the first event. The first event is received and includes a type parameter data, a time parameter data, and a substance parameter data. A system of the invention includes a script component for associating or attaching a first script to the first event. The first script defines the type, time, and substance parameters of the second event as a function of the parameters of the first event according to the pattern description. A pattern recognition engine executes the attached first script and the executed script identifies the second event and thereby identifies the pattern.
Owner:MICROSOFT TECH LICENSING LLC
Method and apparatus for discovery, clustering and classification of patterns in 1-dimensional event streams
InactiveUS6092065AData processing applicationsDigital data information retrievalData miningBioinformatics
The present invention groups character sequences by identifying a sequence of characters. A set of internal repeats in said sequence of characters is identified by a pattern discovery technique. For at least one internal repeat belonging to the set of internal repeats, it is determined if the internal repeat corresponds to a group of character sequences; If so, first data that identifies the sequence of characters and second data that associates the sequence of characters with the group of character sequences is stored in persistent memory. The pattern discovery mechanism discovers patterns in a sequence of characters in two phases. In a sampling phase, preferably proper templates corresponding to the sequence of characters are generated. Patterns are then generated corresponding to the templates and stored in memory. In a convolution phase, the patterns stored in memory are combined to identify a set of maximal patterns.
Owner:IBM CORP
Scaling event processing using distributed flows and map-reduce operations
Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.
Owner:ORACLE INT CORP
System and method for processing user interface events
ActiveUS20100287229A1Multiple digital computer combinationsDigital data authenticationHuman behaviorHuman interaction
A system and method to detect and prevent non-human interaction between a client and a web server invokes an effect to change the event generation behavior at the client. Subsequent event streams from the client to the server are analyzed to determine whether the event streams contain events corresponding to expected reactions of a human operator at the client to the effect. Indications of non-human behavior may invoke more direct human testing, for example using a dynamic CAPTCHA application, or may cause a termination of the client / URL interaction.
Owner:ORACLE INT CORP
Pattern discovery in a network security system
InactiveUS7509677B2Memory loss protectionDigital data processing detailsNetwork security policyEvent stream
Owner:MICRO FOCUS LLC
Visually exploring and analyzing event streams
Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.
Owner:ORACLE INT CORP
Event management apparatus, systems, and methods
ActiveUS20130055145A1Programme controlTesting/monitoring control systemsOperational systemComputerized system
Apparatus, systems, and methods may operate to generate a reference statistical model of an operating system, such as a computer system, and display the reference statistical model as a hierarchical, segmented time series event stream graph, along with a graph representing current behavior of the system. The event stream graph may be derived from one or more streams of security events. Additional operations may include receiving requests to display further detail respecting discrepancies between the reference statistical model and the current behavior. Other apparatus, systems, and methods are disclosed.
Owner:MICRO FOCUS SOFTWARE INC
Recognizing event patterns from event streams
InactiveUS20060265406A1Memory loss protectionError detection/correctionArtificial intelligenceTime parameter
System and method for identifying a pattern. A method of the invention compiles a pattern description where the pattern description defines a series of a first event and a second event relating to the first event. The first event is received and includes a type parameter data, a time parameter data, and a substance parameter data. A system of the invention includes a script component for associating or attaching a first script to the first event. The first script defines the type, time, and substance parameters of the second event as a function of the parameters of the first event according to the pattern description. A pattern recognition engine executes the attached first script and the executed script identifies the second event and thereby identifies the pattern.
Owner:MICROSOFT TECH LICENSING LLC
Method and system for accelerated stream processing
ActiveUS8374986B2Low degreeImprove latencyDigital computer detailsCode conversionProgramming languageData stream
Disclosed herein is a method and system for hardware-accelerating various data processing operations in a rule-based decision-making system such as a business rules engine, an event stream processor, and a complex event stream processor. Preferably, incoming data streams are checked against a plurality of rule conditions. Among the data processing operations that are hardware-accelerated include rule condition check operations, filtering operations, and path merging operations. The rule condition check operations generate rule condition check results for the processed data streams, wherein the rule condition check results are indicative of any rule conditions which have been satisfied by the data streams. The generation of such results with a low degree of latency provides enterprises with the ability to perform timely decision-making based on the data present in received data streams.
Owner:IP RESERVOIR
Framework for supporting regular expression-based pattern matching in data streams
ActiveUS20100057735A1Digital data processing detailsCharacter and pattern recognitionPattern recognitionData stream
Techniques for detecting patterns in one or more data or event streams. A pattern to be detected may be specified using a regular expression. Events received in a data stream are processed during runtime to detect occurrences of the specified pattern in the data stream. In one embodiment, a pattern type or class is determined for the specified pattern and pattern matching is performed using a technique selected based upon the type or class determined for the specified pattern.
Owner:ORACLE INT CORP
Method and system for dynamically initializing a view for a streaming data base system
ActiveUS7672964B1Data processing applicationsDigital data information retrievalStreaming dataEvent stream
A method for dynamically initializing a view for a streaming database system. The method includes accessing a stream of events. An initial view is materialized from the stream, wherein the initial view comprises a dynamically defined view of the stream of events from the streaming database system. The method also includes processing a plurality of recent view snapshots from the initial view. A view state derived from each of the recent view snapshots is generated. An updated view is subsequently maintained in accordance with the view state, wherein the updated view incorporates new events of the stream.
Owner:VIEWCELER CELEQUEST +1
Generating runtime components
Owner:ORACLE INT CORP
Systems and/or methods for forecasting future behavior of event streams in complex event processing (CEP) environments
ActiveUS20130046725A1Speed up the flowImprove throughputDigital data information retrievalChaos modelsComplex event processingReference window
Certain example embodiments described herein relate to forecasting the future behavior of event streams in Complex Event Processing (CEP) environments. For each received event in an event stream, a reference window indicative of a predefined temporal range during which the forecast is to be computed is updated so that the reference window ends with the received event, with the reference window moving with the event stream. Within this processing loop, when a forecasting update policy indicates that the forecast is to be updated based on the received event: a forecasting window indicative of a temporal range in which events are to be forecasted is updated; and while the time period of the forecasting window is not exceeded, (a) a next forecasted event is generated via at least one processor and (b) the next forecasted event is inserted into the forecast window; and the forecast window is published.
Owner:SOFTWARE AG
Complex event processing system having multiple redundant event processing engines
ActiveUS20080189352A1Error preventionMultiple digital computer combinationsComplex event processingComputerized system
A system and method for replicating a distributed computer system state among a plurality of deterministic event processing engines are disclosed. A sender module receives a plurality of input events or input event streams and generates a serialized message sequence describing an order in which input events are processed. The serialized message sequence is then transmitted to a plurality of deterministic event processing engines for processing. As the event processing engines are deterministic, each event processing engine produces the same ordered sequence responsive to the received serialized message sequence. The ordered sequences from each deterministic event processing engine are transmitted to a merger module which generates an output from the plurality of ordered sequences. The merger module removes one or more redundant ordered sequences and associates the resulting output with a client device.
Owner:SOFTWARE AG
Grouping and managing event streams generated from captured network data
ActiveUS20150293954A1Facilitate analysis and understanding and managementEasy to processTransmissionSpecial data processing applicationsGraphicsGraphical user interface
The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display a graphical user interface (GUI) for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements for specifying a grouping of a set of event streams containing the time-series event data by an event stream attribute associated with the event streams. The system then causes for display, in the GUI, a second set of user-interface elements containing event stream information for one or more subsets of the event streams represented by the grouping of the event streams by the event stream attribute.
Owner:SPLUNK INC
Event Processing Finite State Engine and Language
In various embodiments, a method for processing event streams includes receiving a finite state machine defined in response to a set of processing components, a set of states, and a set of entry points. Event data associated with an event stream is also received. The event data is processes according to the finite state machine to generate an event.
Owner:ORACLE INT CORP
Variable duration non-event pattern matching
ActiveUS9098587B2Good flexibilityWeb data indexingDigital data processing detailsPattern matchingAlgorithm
Techniques for performing non-event pattern matching on continuous event streams using variable duration. The duration value used in non-event pattern matching can be variable. Accordingly, a first pattern match candidate can have a different associated duration from a second pattern match candidate for matches arising from events received via an event stream. In certain embodiments, the duration for a candidate pattern match may be based upon one or more attributes of an event that started the candidate pattern match or based upon an expression (e.g., an arithmetic expression) involving one or more attributes of the event.
Owner:ORACLE INT CORP
System and method of reducing transmission bandwidth required for visibility-event streaming of interactive and non-interactive content
InactiveUS20120229445A1High precisionReduce computing costSpecial data processing applicationsDetails involving image processing hardwareVisibilityInteractive content
In an exemplary embodiment, a computer-implemented method determines a set of mesh polygons or fragments of the mesh polygons visible from a navigation cell. The method includes determining a composite view frustum containing predetermined view frusta and determining mesh polygons contained in the composite view frustum. The method includes determining at least one supporting polygon between the navigation cell and the contained mesh polygons. The method further includes constructing at least one wedge from the at least one supporting polygon, the at least one wedge extending away from the navigation cell beyond at least the contained mesh polygons. The method includes determining one or more intersections of the at least one wedge with the contained mesh polygons. The method also includes determining the set of the contained mesh polygons or fragments of the contained mesh polygons visible from the navigation cell using the determined one or more intersections.
Owner:JENKINS BARRY L
Inline visualizations of metrics related to captured network data
ActiveUS20150295778A1Facilitate analysis and understanding and managementDigital computer detailsData switching networksGraphicsGraphical user interface
The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system obtains a set of event streams from one or more remote capture agents over one or more networks, wherein the set of event streams comprises time-series event data generated from network packets captured by the one or more remote capture agents. Next, the system causes for display, within a graphical user interface (GUI), a first set of user interface elements, wherein the first set of user interface elements includes event stream information for an event stream in the set of event streams and a first graph of a metric associated with the time-series event data in the event stream. The system then updates the first graph in real-time with the time-series event data from the one or more remote capture agents.
Owner:SPLUNK INC
Variable duration windows on continuous data streams
ActiveUS20140201355A1Amount of timeDigital computer detailsData switching networksData streamData mining
Improved techniques are provided for processing streams of data. The duration of the time that an event is eligible for remaining in a time-based window can be variable for different events received via the same event stream. In certain embodiments, the duration of time that an input event spends in a time-based window is a function of one or more values of one or more attributes of the event. Since different events can have different one or more attribute values, the different events can spend different amounts of time in the time-based window for that event stream. The amount of time that an event spends in a time-based window can be controlled via the one or more attributes of the event.
Owner:ORACLE INT CORP
Enriching events with dynamically typed big data for event processing
ActiveUS20160085809A1Database management systemsDigital data processing detailsMap reduceComplex event processing
Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.
Owner:ORACLE INT CORP
Grouping and managing event streams generated from captured network data
ActiveUS20150295780A1Facilitate analysis and understanding and managementDigital computer detailsData switching networksGraphicsGraphical user interface
The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display, on a computer system, a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements for managing one or more ephemeral event streams that contain temporarily generated time-series event data from the network packets, wherein managing the one or more ephemeral event streams comprises modifying an end time for terminating the capture of time-series event data in an ephemeral event stream. The system then updates the configuration information based on input received through the first set of user-interface elements.
Owner:SPLUNK INC
Variable duration non-event pattern matching
ActiveUS20140201225A1Good flexibilityWeb data indexingDigital data processing detailsAlgorithmPattern matching
Techniques for performing non-event pattern matching on continuous event streams using variable duration. The duration value used in non-event pattern matching can be variable. Accordingly, a first pattern match candidate can have a different associated duration from a second pattern match candidate for matches arising from events received via an event stream. In certain embodiments, the duration for a candidate pattern match may be based upon one or more attributes of an event that started the candidate pattern match or based upon an expression (e.g., an arithmetic expression) involving one or more attributes of the event.
Owner:ORACLE INT CORP
Protocol-based capture of network data using remote capture agents
The disclosed embodiments provide a system that processes network data. During operation, the system obtains, at a remote capture agent, a first protocol classification for a first packet flow captured by the remote capture agent. Next, the system uses configuration information associated with the first protocol classification to build a first event stream from the first packet flow at the remote capture agent, wherein the first event stream comprises time-series event data generated from network packets in the first packet flow based on the first protocol classification. The system then transmits the first event stream over a network for subsequent storage and processing of the first event stream by one or more components on the network.
Owner:SPLUNK INC
Embedded event processing
ActiveUS20150381712A1TransmissionSpecial data processing applicationsComplex event processingEdge computing
Techniques for embedded event processing are provided. In some examples, instructions for executing at least a subset of complex event processing features may be received. A stream of events received by the edge computing device may be identified. Additionally, the events of the stream utilizing the subset of complex event processing features may be processed. Further, in some aspects, the processed events may be provided to a complex event platform of a server.
Owner:ORACLE INT CORP
Bidirectional linking of ephemeral event streams to creators of the ephemeral event streams
ActiveUS20150295779A1Facilitate analysis and understanding and managementEasy to processMemory loss protectionError detection/correctionGraphicsGraphical user interface
The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements comprising event stream information for one or more ephemeral event streams used to temporarily generate the time-series event data from the network packets. The system then causes for display, in the GUI, a mechanism for navigating between the event stream information and creation information for one or more creators of the one or more ephemeral event streams.
Owner:SPLUNK INC
Pattern discovery in a network security system
InactiveUS20050251860A1Memory loss protectionDigital data processing detailsNetwork security policyEvent stream
Patterns can be discovered in security events collected by a network security system. In one embodiment, the present invention includes collecting and storing security events from a variety of monitor devices. In one embodiment, a subset of the stored security events is provided to a manager as an event stream. In one embodiment, the present invention further includes the manager discovering one or more previously unknown event patterns in the event stream.
Owner:MICRO FOCUS LLC
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com