CEDS:Center-Edge Collaborative Data Service for Mobile IoT Data Management

With the rapid development of the MIoT(mobile Internet of things), the number of MIoT devices has increased rapidly. The collection and management of the status information continuously submitted by MIoT devices has brought great pressure to the network bandwidth of the data center. Existing edge data storage services lack the ability of data range query to support MIoT stream analysis, so we propose a cloud-edge collaborative data service, CEDS, to solve that problem. It uses edge computing nodes to store data sent by devices nearby and uses a central node to manage metadata and query data on edge nodes. In order to reduce the network transmission during data query, we use query splitting and pushdown optimization techniques to make each edge node only return aggregated data within the query range. To improve the query latency of global search, we propose an edge data indexing mechanism based on the compressed Rosetta filter. We test the CEDS performance with the taxi management task. Experiments illustrate that CEDS can efficiently support storing and range query of MIoT data streams with a small network traffic cost.