IEEE Communications Magazine · 2014 · 14 citations · 9 references
ComputingComputer EngineeringComputer SystemsComputer NetworksEnergy ManagementLow-power DesignNetwork ArchitectureNetwork ProtocolsRoutingEnergy-efficient NetworkingHardware Abstraction InterfaceHardware Abstraction LayersNetwork AbstractionNetwork Performance OptimizationNetwork Traffic EngineeringPower Management TechniquesPower Reduction Techniques
Recently, a number of approaches based on dynamic power management techniques have been proposed to reduce the energy consumption of telecommunication networks and devices. They are able to optimize the trade-off between network performance and energy requirements. It is possible to execute and extend these techniques to the whole network, by using local control policies together with energy-aware routing and traffic engineering. However, the lack of a standardized representation of the energy-aware capabilities of heterogeneous networking equipment makes their deployment confusing and impractical. To this aim, we have proposed a novel framework, the green abstraction layer (GAL), whose purpose is to define a multi-layered abstraction interface for the hardware and physical resources, where energy management actions are directly performed. Therefore, the GAL syntax can be exposed to the platform-independent logical representation commonly used in network control protocols. Given the internal architectural complexity and heterogeneity of many network devices, the GAL approach is based on a hierarchical decomposition, where each level provides an abstract and aggregated representation of internal components.
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Raffaele Bolla, Roberto Bruschi, Franco Davoli et al. · IEEE Communications Surveys & Tutorials · 2010 · 700 citations
Reducing network energy consumption via sleeping and rate-adaptation
Sergiu Nedevschi, Lucian Popa, Gianluca Iannaccone et al. · 2008 · 650 citations
Joaquín Restrepo, Claus G. Gruber, Carmen Mas Machuca · 2009 · 184 citations
Raffaele Bolla, Franco Davoli, Roberto Bruschi et al. · IEEE Communications Magazine · 2011 · 176 citations · Full text