Edge intelligence is the new research area amalgamation of Artificial Intelligence (AI) and edge computing. Edge intelligence imparts powerful AI applications by utilizing widespread edge resources.
Significant benefits of edge computing with AI technology are efficient predictive maintenance and asset management, ensuring large-scale Edge AI infrastructure and edge device life-cycle management, and flexibility to imply in industry-specific or location-specific requirements. Major application areas of AI in edge computing are image analytics, audio analytics, and environmental Sensor Analytics.
In an edge intelligence system, the versatile and portable nature of edge devices is an inevitable factor that is required to contend with appropriate techniques in order to produce reliable performance. It is essential to build mobile aware intelligence system by cooperatively coordinating the edge devices by the servers accompanying resource maintenance. Mobility-aware collaborative resource management in edge intelligence systems provides the best performance by reducing energy consumption and improving the comfort of various edge computing applications.