System and Method for Automating Selection of Operating Mode in Hybrid Computer Application

MIMOS
Socio-Economics Driver
Smart Technology and Systems
Science & Technology Driver
Advanced Intelligent Systems
Technology Readiness Level
4
Intellectual Property
PI 2020006202

Dynamically selects operating modes based on service availability, QoS, API performance, routing and synchronisation requirements, improving adaptability and reducing manual system configuration.

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Hybrid applications may experience inconsistent API performance, inefficient routing and differences between central and local data versions, making it difficult to automatically determine the most suitable operating mode under changing service and system conditions.

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Provides an automated operating-mode selection system that evaluates service availability, quality-of-service and API metrics, selects an optimised route for API calls and manages data-version synchronisation between systems.

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Integrates service discovery, API-quality analysis, route optimisation and data synchronisation to automatically determine the most suitable operating mode for hybrid applications based on real-time system conditions.

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Project

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