How to interface energy harvesting models with multiprocessor scheduling paradigms

With the ever increasing need for embedding still more complex signal processing functionalities into different types of applications, some with very scarce energy resources, the ability to execute such computation-intensive algorithms on multiple cooperating processors in an energy harvesting (EH) environment is a natural next requirement. In this work we therefore identify the characteristics of the problem that occurs when static multiprocessor scheduling paradigms have to be merged with basic concepts of running a multiprocessor platform from environmental energy sources, and in terms of a framework we suggest how to operate the scheduling process when influenced by EH constraints.