18243438. DYNAMIC ASSET MONITORING AND MANAGEMENT USING A CONTINUOUS EVENT PROCESSING PLATFORM simplified abstract (Microsoft Technology Licensing, LLC)

DYNAMIC ASSET MONITORING AND MANAGEMENT USING A CONTINUOUS EVENT PROCESSING PLATFORM

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Roman Schindlauer of Seattle WA (US)

Balan Sethu Raman of Redmond WA (US)

Torsten W. Grabs of Seattle WA (US)

Beysim Sezgin of Redmond WA (US)

DYNAMIC ASSET MONITORING AND MANAGEMENT USING A CONTINUOUS EVENT PROCESSING PLATFORM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18243438 titled 'DYNAMIC ASSET MONITORING AND MANAGEMENT USING A CONTINUOUS EVENT PROCESSING PLATFORM

Simplified Explanation

The disclosed architecture uses realtime continuous event processing (CEP) to import a dynamic set of event types and implement monitoring and management tasks on an asset level.

• The architecture leverages realtime continuous event processing (CEP) to address monitoring and management tasks on an asset level.
• It uses a general input interface framework to import a dynamic set of event types.
• The architecture uses a declarative, expressive query model to implement monitoring and management tasks.
• It models assets as realtime event types using the CEP data model.
• Queries can be formulated per asset and not just per single stream.
• The architecture formulates asset management and monitoring tasks as standing, declarative queries.
• It correlates data from different data sources with different dynamic properties using the input interface of a CEP platform.

Potential Applications

• Asset management and monitoring in various industries such as manufacturing, logistics, and healthcare.
• Real-time monitoring and analysis of financial markets and trading activities.
• Network monitoring and security analysis in telecommunications and IT industries.

Problems Solved

• Traditional approaches look separately at single values from static databases and/or realtime streams, limiting the ability to perform asset-level monitoring and management tasks.
• Existing systems may not have a flexible and expressive query model to handle dynamic event types and correlate data from different sources.

Benefits

• Enables asset-level monitoring and management tasks, providing a more comprehensive view of the system.
• Allows for the formulation of standing, declarative queries for asset management and monitoring.
• Correlates data from different data sources with different dynamic properties, enhancing the accuracy and effectiveness of analysis.
• Provides a flexible and expressive query model to handle dynamic event types.

Original Abstract Submitted

The disclosed architecture leverages realtime continuous event processing (CEP) to address using a general input interface framework to import a dynamic set of event types (e.g., assets), and using a declarative, expressive query model to implement monitoring and management tasks on an asset level. This is in contrast to looking separately at single values from static databases and/or realtime streams as is common conventionally. The architecture uses the CEP data model to model assets as realtime event types. Thus, queries can be formulated per asset and not just per single stream. The architecture uses the query capabilities of CEP to formulate asset management and monitoring tasks as standing, declarative queries, and uses the input interface of a CEP platform to correlate data from different data sources with different dynamic properties.