In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage.

In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage.

Abstract—In this paper we present an Energy-Aware Schedul- ing strategy that assigns computational tasks over a network of mobile devices optimizing the ...

An energy-aware (EA) scheduling strategy that assigns data mining tasks over a network of mobile devices optimizing the energy usage is proposed, ...

Abstract In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the ...

In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage.

Oct 27, 2022 · We address the problem of task allocation with minimum total energy consumption considering multi-task settings in MEC, in which a mobile device has one or ...

The proposed approach considers efficient resource allocation such as sub-carriers, power, and bandwidth for offloading to guarantee minimum energy consumption.

This paper proposes an energy-efficient task offloading strategy for large-scale workflow applications in MEC.

Dec 12, 2011 · In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage.