摘要
in 7th EAI International Conference on IoT as a Service(IoTAAS 2020)November 19-20,2020,Xi’an,China Website:http://iotaas.org/Scope and Topics of Interests Nowadays,billions of Io T 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.
出处
《太赫兹科学与电子信息学报》
北大核心
2020年第4期I0005-I0005,共1页
Journal of Terahertz Science and Electronic Information Technology