Energyaware schedule of periodic tasks in embedded realtime systems
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Abstract:
For the energyaware schedule of batterypowered realtime embedded system, a novel offline energyaware schedule algorithm is proposed based on the improved artificial fish school algorithm(IAFSA). The algorithm constructs the behavior constraint of the artificial fish to make the random search meet the energy constraint and deadline while maximizing the system reward. Experimental results show that the proposed algorithm improves the system reward about 47% compared with the Greedy algorithm. Besides, the energy efficiency increases while the energy budget decreases, which demonstrates the good energyawareness efficiency of the proposed algorithm.
