Novel Hybrid Edge-Cloud Framework for Efficient and Sustainable Omics Data Management

What is it about?

This paper introduces a new system that combines edge computing and cloud computing to handle the large amounts of complex health data generated in the healthcare sector. By using this system, different types of medical data can be managed together, which helps improve patient care and supports quick, informed decisions by doctors. Edge computing means processing data closer to where it is created, such as on user laptop or local servers, instead of sending it all to a central cloud server. This allows for faster data processing and response times. The large size and complexity of health data require efficient ways to manage and analyze it. Our approach uses the local processing power of edge computing along with the scalable resources of cloud computing. This combination helps make the network more efficient, reduces costs, and keeps data private.

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