2nd Workshop on Edge Intelligence and Computing for IoT Communications and Applications

Nowadays,billions of IoT devices,e.g.,sensors and RFIDs,arise around us providing not only computing intensive,but also delay-sensitive services,ranging from augmented/virtual realities to distributed data analysis and artificial intelligence.Unfortunately,in many application scenarios,the low response latency for IoT services are achieved at the cost of computing-complexity that far exceeds the capabilities of IoT devices.To feed this trend,multiple computing paradigms emerge,such as mobile transparent computing,edge computing,fog computing and big data analytics based framework.These paradigms employ more resourceful edge devices,e.g.,small-scale servers,smart phones and laptops,to assist the low-end IoT devices.By offloading the computing-intensive tasks to the edge devices,it is expected to converge the data collection at IoT devices and the data processing at edge devices to provision computing-intensive and delay-sensitive services.However,lots of issues remain in the application of edge computing which impede its flourish in IoTs.