A pattern-based workflow engineering approach with AI assistance enables rapid development of sensor-driven applications across edge-to-core infrastructures, shown via reusable templates in environmental monitoring case studies.
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A pattern-based AI-assisted workflow methodology using Pegasus on FABRIC reduces sensor-driven application development to 1-1.5 days per app by reusing templates and configuring for edge resources.
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From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
A pattern-based workflow engineering approach with AI assistance enables rapid development of sensor-driven applications across edge-to-core infrastructures, shown via reusable templates in environmental monitoring case studies.
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(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
A pattern-based AI-assisted workflow methodology using Pegasus on FABRIC reduces sensor-driven application development to 1-1.5 days per app by reusing templates and configuring for edge resources.