International Workshop on Edge Intelligence and Computing for IoT Communications and Applications

bigdatacollectionprocessing

摘要：Nowadays, billions of IoT devices, e.g., sensors and RFIDs, arise around us providing not only computingintensive, but also delaysensitive services, ranging from augmentedirtual realities to distributed data analysis and artificia 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., smallscale 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.

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