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The following represents the expected contributions of this work to the field:
Creation of a system prototype to test and evaluate an intelligent health care system utilizing an edge/fog computing framework, a custom scheduler and Apache Beam
Creation of a scheduler and optimal task scheduling strategy that will be updated and enhanced over the course of development, that will be both ubiquitous and unique to this type of system
Adding machine learning and AI methods to enhance the validity and to provide a more comprehensive and complete smart system, specifically through the development of a unique and dynamic scheduler that utilizes said AI techniques
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