This paper studies the crucial problem of energy-efficiency scheduling on reconfigurable systems

present an Ant Colony Optimization based energy-efficient scheduling algorithm called ASR for reconfigurable system. We design a heuristic function (task placement strategy) to serve as the center for probabilistic state transition rule. Based on this strategy

the overall energy consumption is reduced. Finally

we conduct comprehensive trace-driven simulation experiments to evaluate our algorithm and the results show that our energy efficient scheduling algorithm successfully processes all tasks without violating deadline requirements

and the proposed algorithm consumes 3% up to that of the brute-force algorithm.