Dynamic Distribution Method of Data Collection Platform for Multi-site Data Sharing

Abstract

It is expected that data will be shared with high reliability among multiple sites to improve operations entire the supply chain. In this research, we propose the dynamic distribution method for containerized data processing functions to collect and analyze data at multiple locations. When collecting and analyzing data from entire the supply chain, communication between the data processing function and the volume becomes a bottleneck, causing a problem of degrading the data processing. By the proposed method that dynamically determines the location of data processing functions based on the traffic volume and the communication delay time, we confirmed data processing speed is improved.