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Network energy use not directly proportional to data volume: The power model approach for more reliable network energy consumption calculations

David Mytton, Dag Lundén, Jens Malmodin

2024Journal of Industrial Ecology13 citationsDOIOpen Access PDF

Abstract

Abstract It is commonly assumed that data volume and network energy consumption are directly proportional, a notion perpetuated by numerous studies and media coverage. This paper challenges this assumption, offering a comprehensive examination of network operations to explain why the relationship between energy consumption and data volume is nonlinear. The power model approach is explored as an alternative methodology for calculating network energy consumption providing a more reliable representation of network energy use. The power model demonstrates that simple energy intensity calculations, expressed as kilowatt hours per gigabyte of data, are insufficient for accurately estimating real‐world network energy consumption.

Topics & Concepts

Volume (thermodynamics)Energy consumptionConsumption (sociology)Energy (signal processing)Power (physics)Network modelComputer sciencePower consumptionEnvironmental scienceThermodynamicsData miningStatisticsPhysicsMathematicsEngineeringElectrical engineeringSocial scienceSociologyGreen IT and SustainabilityCloud Computing and Resource ManagementSmart Grid Energy Management
Network energy use not directly proportional to data volume: The power model approach for more reliable network energy consumption calculations | Litcius