Publication | Closed Access
Modelling energy efficiency in distributed home environments
12
Citations
9
References
2010
Year
Cluster ComputingEngineeringEnergy EfficiencyCloud Load BalancingGreen BuildingBuilding Energy ConservationApplication SharingBuilt EnvironmentSystems EngineeringDistributed ApproachEnergy AssessmentInternet Of ThingsPower-aware SoftwarePower-aware ComputingMobile ComputingBuilding EnergyPotential Energy ConsumptionSmart GridEnergy ManagementEdge ComputingCloud ComputingPower-efficient ComputingEnergy-efficient Networking
In this paper, we present a distributed approach for saving energy by sharing computing load in home networks. In our approach, possibly thousands of home computers may cooperate and send each other tasks which include services and applications running on a 24/7 basis. By concentrating as many tasks as possible on a small number of computers, idle computers may go asleep and thus consume almost no energy. We present the general architecture of our approach and analyse several 24/7 applications by modelling the potential energy consumption with and without application sharing, as well as the aspect of availability.
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