Today mixed-criticality systems are used in most industrial domains, because of their integration advantages. They are smaller, weigh less and reduce the idle time of the previously dedicated hardware. However, these systems can still be improved. Since their hardware is now used more efficiently it automatically suffers more under the aging effects of the heat created by all the simultaneous computations. The heat fastens the aging process of the hardware and increases failure rates. To prevent this the systems need to be cooled down by additional cooling devices like fans. In turn, these devices introduces new failure sources due to their movable parts. In this paper we propose a chip-wide approach to dynamically manage the system computation and communication to optimize the energy-efficiency. By reducing the energy usage of the system we can reduce the additional hardware as well as the weight of the whole system and prolong the system's lifetime as the available power resource lasts longer. We expand the current usage of tile-based energy management to a system wide scheme by implementing a meta-scheduler. This verifiably monitors the system state and changes the schedule if an optimization can be performed.
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