TAF PUBLISHING

With the development and popularity of smart devices, streaming data is continually generated at the network's edge. Under those edge scenarios, it takes high latency to process the streaming data by cloud computing. And uploading the raw data to cloud servers by networks faces data privacy issues. Streaming edge computing provides an opportunity to fill the gap between the real-time process and data privacy protection by conducting the major computing at the edge of networks where the streaming data is generated. In the paper, we propose and build SCCS, a Streaming data Cooperative Computing System suitable for an edge environment. This system (i) cooperatively conducts data analysis tasks on several servers at the edge of network topology; (ii) utilizes the geographically distributed data set; and (iii) protects data privacy and data value. A case study of analyzing real shared bicycle distribution demonstrates how edge nodes servers cooperate with others to process streaming data on real-time.