The energy consumption in distributed systems depends on several inter-related factors, including task partitioning, process redundancy, fault tolerance, task and message scheduling, and communication bandwidth allocation. Although some of these issues have been considered in the literature in isolation, a systematic approach considering all the constraints is still missing. This paper addresses the problem of allocating a task set and the required communication bandwidth on a distributed embedded system, aiming at reducing energy consumption while guaranteeing timing and redundancy constraints. Two heuristic approaches are proposed and compared against a complete method and simulated annealing. Simulation results show the effectiveness of the proposed approaches.

Energy-aware algorithms for tasks and bandwidth co-allocation under real-time and redundancy constraints

BUTTAZZO, Giorgio Carlo;MARINONI, Mauro;FRANCHINO, Gianluca
2012-01-01

Abstract

The energy consumption in distributed systems depends on several inter-related factors, including task partitioning, process redundancy, fault tolerance, task and message scheduling, and communication bandwidth allocation. Although some of these issues have been considered in the literature in isolation, a systematic approach considering all the constraints is still missing. This paper addresses the problem of allocating a task set and the required communication bandwidth on a distributed embedded system, aiming at reducing energy consumption while guaranteeing timing and redundancy constraints. Two heuristic approaches are proposed and compared against a complete method and simulated annealing. Simulation results show the effectiveness of the proposed approaches.
2012
978-1-4673-4737-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/388047
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