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Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams.

Pieter Bonte1, Riccardo Tommasini2, Emanuele Della Valle3

  • 1IDLab, Department of Information Technology, Ghent University-IMEC, B-9052 Ghent, Belgium. pieter.bonte@ugent.be.

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Summary
This summary is machine-generated.

Streaming MASSIF enables expressive reasoning and complex event processing for high-velocity Internet of Things (IoT) data streams. This Cascading Reasoning approach handles high throughput, realizing efficient analysis of volatile data.

Keywords:
Cascading ReasoningIoTStream Reasoningcomplex event processingdescription logic reasoning

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Area of Science:

  • Computer Science
  • Data Science
  • Artificial Intelligence

Background:

  • Internet of Things (IoT) generates heterogeneous, high-velocity data streams.
  • Current stream processing lacks expressive reasoning and temporal dependency detection for high-frequency data.
  • A mismatch exists between processing complexity and data production rates in volatile domains.

Purpose of the Study:

  • Introduce Streaming MASSIF, a Cascading Reasoning approach for expressive reasoning and complex event processing.
  • Address the limitations of current stream processing in handling high-frequency, complex data.
  • Enable IoT services to subscribe to high-level, temporally dependent concepts in volatile streams.

Main Methods:

  • Developed Streaming MASSIF, a hierarchical, layered approach to stream processing.
  • Implemented Cascading Reasoning to minimize data at each layer while increasing processing complexity.
  • Formalized semantic collaboration between layers in the Cascading Reasoning Approach.

Main Results:

  • Streaming MASSIF effectively handles high-velocity streams (hundreds of events/second).
  • Achieved a combination of high expressive reasoning and high processing throughput.
  • Demonstrated the realization of the Cascading Reasoning vision for IoT data.

Conclusions:

  • Streaming MASSIF successfully integrates expressive reasoning and complex event processing for high-velocity IoT streams.
  • The layered Cascading Reasoning approach provides a scalable solution for volatile data domains.
  • Enables more sophisticated data analysis and concept extraction from IoT data.