Sudarsan Rachuri

The paper titled “Engineering Complex, Information-based,Networked Industrial Systems: A Research Roadmap” by Albert Jones et al argues for a new and different approach to design and understand what they termed as complex information-based networked industrial _CINI_ systems. The authors borrow concepts and principles from physical systems and living systems to model and simulate CINI systems. They describe the four major model building activities of engineers that relate to CINI systems, namely, topology, behaviour, decisions, and information.

Ensuring the long-term usability of engineering informatics (EI) artifacts is a challenge, particularly for products with longer lifecycles than the computing hardware and software used for their design and manufacture.Addressing this challenge requires characterizing the nature of EI, defining metrics for EI sustainability, and developing methods for long-term EI curation.In this paper we highlight various issues related to long-term archival of EI and describe the work towards methods and metrics for sustaining EI We propose an approach to enhance the Open Archival Information System (OAI