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In this paper we address the problem of reducing the energy consumption in distributed embedded systems associated with time-constraints and equipped with fault-tolerant techniques. A greedy heuristic is presented to reduce the energy during task mapping and fault tolerance policy assignment. Fault tolerance is achieved through task re-execution and replication. The proposed approach can obtain much lower energy consumption compared to the solution without considering energy while toleratingdoi:10.1109/isqed.2007.137 dblp:conf/isqed/CaiRA07 fatcat:mcsdbn5t4ffctiira2zrtbydny