Efficient Partitioning of On-Cloud Remote Executable Code and On-Chip Software for Complex-Connected IoT

A program running on one processor can easily model the system and analyze power consumption and execution time. However, complex systems in which multiple processors interact are very difficult to model. Creating and simulating a simulation model would be effective for analyzing a complex system. However, the simulation model changes as the connection structure of the system changes. In this paper, we propose a framework that takes a connection structure and creates a simulation model automatically. This framework allows developers to easily create a simulation model by inserting the connection structures between the IoT systems. And we can find efficient part of on-cloud remote executable code and on-chip software in terms of power consumption or execution time.