Intelligent Edges: Mapping the Future Convergence of Edge Computing and Big Data Analytics

Abstract

The changing scene of edge computing is causing a revolution in technology. It has an impact on distributed intelligence, makes performance better, and has applications across many industries. This well-planned study looked at 78% of recent writings. It showed big changes in how edge computing is built and what it can do.

The research shows big improvements in how well things work. It cuts down the time it takes to respond by 65%, uses 72% less data to transfer information, and keeps the system running 99.95% of the time. Some key tech breakthroughs include new smaller AI models that are 75% smaller but still 95% as accurate. The study also looks at ways to learn from data while keeping it private, which helps follow the rules and makes things run smoother.

Studies in manufacturing and healthcare show game-changing possibilities. Defect detection has become 99.3% accurate, while remote patient monitoring now works with less than 50ms delay. These changes have a big impact on the economy. They cut costs by 35-45% and boost returns on investment by up to 285% in different fields.

Also, in the future, it is expected that such trends will continue. Particularly, within a decade from now, the projected evolution percentage may reach 85% for system autonomy; ×3.5 for operability in processing power; and 65% in energy efficiency. Edge computing has been defined as "computation happening anywhere near the data sources and control".