Power and Energy Safe Real-Time Multi-Core Task Scheduling

Scheduling tasks in multi-core real-time systems (e.g. low power devices/appliances) while keeping energy in mind is a difficult design challenge. Extensive work has been done to overcome this issue, in which task instances (jobs) have varying levels of operation power. Different combinations of system energy (SE) and subsequent minimal SE have been attained based on the power levels. However, both system power (SP) and system energy (SE) are expensive to operate. As a result, task scheduling for multi-core systems based on balancing both the SP and the SE (referred to as feasible SP and feasible SE, respectively) to achieve the lowest system cost is an issue that has not been adequately addressed in the literature. The states or zones of feasible SP (FSP) and feasible SE (FSE) are thought to be possible zones/states of the system where the system's power configuration provides lowered SE with increased job accommodation, lowering the system's cost. We offer a unique scheduling approach in which we identify numerous FSP and FSE zones (feasible zones/states) to fit all jobs to cores while minimising system cost (including optimum cost) and meeting deadlines. By giving weights to the FSP and FSE, we present a mechanism for ranking the many viable system states. The model is tested using produced task sets (low power task sets), and the results reveal that our approach effectively finds feasible zones, including the best one.