Distributed Agent-Based Big Data Network for Secure E-Mobility TCO Analysis: A Use Case for Multi-Agent Systems in Logistics Environment

Media logistics is undergoing radical change and is fundamentally restructuring its processes. Logistics companies and their delivery companies form a widely distributed and branched network. The sharing of data for the optimization and expansion of business segments is fundamentally opposed to the protection of intellectual property (IP). Combining the distributed character of this application domain with the theory of mobile agents leads to a Distributed Agent-Based Big Data Networks (DBDN), in which data stays where they are, and the IP of the company will be preserved. A trade within the network with acting deputies is made possible. The MAS Ellipsis is used.