Energy Consumption of Residential and Professional Switches

Hlavacs, Helmut; Costa, Georges Da; Pierson, Jean‐Marc

doi:10.1109/cse.2009.244

Cited by 54 publications

(20 citation statements)

References 5 publications

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“…Hlavacs et al [Hlavacs et al 2009] use linear regression to model the relation between the measured power consumption and the injected traffic in typical residential and professional switches. Some results are surprising: the Netgear residential switch (Netgear FS608v2, 8 ports) consumes less energy under high bandwidth values, and the 3Com professional switch (3Com 3824, 24 ports) achieves the optimum ratio between energy consumption and bandwidth when operating between 100 and 1000 kbit/s.…”

Section: Measuring and Modeling Energy Consumptionmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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The great amounts of energy consumed by large-scale computing and network systems, such as data centers and supercomputers, have been a major source of concern in a society increasingly reliant on information technology. Trying to tackle this issue, the research community and industry have proposed a myriad of techniques to curb the energy consumed by IT systems. This article surveys techniques and solutions that aim to improve the energy efficiency of computing and network resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation, scheduling and network traffic management.This work aims to review the state of the art on energy efficiency and to foster research on schemes to make network and computing resources more efficient.

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Section: Measuring and Modeling Energy Consumptionmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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“…This step is a form of allocation that is supposed to provide an apportioning of a flow with a significant environmental impact (here energy consumption) between multiple outputs (here all Internet connections world-wide) when necessary. Because energy consumption in network devices is highly inelastic [16], [17], the energy intensity should not be used for change-oriented assessments of energy footprints.…”

Section: Discussionmentioning

confidence: 99%

The Energy Intensity of the Internet: Edge and Core Networks

Schien

Coroamă

Hilty

et al. 2014

Advances in Intelligent Systems and Computing

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Environmental assessments of digital services seeking to take into account the Internet's energy footprint typically require models of the energy intensity of the Internet. Existing models have arrived at conflicting results. This has lead to increased uncertainty and reduced comparability of assessment results. We present a bottom-up model for the energy intensity of the Internet that draws from the current state of knowledge in the field and is specifically directed towards assessments of digital services. We present the numeric results and explain the application of the model in practice. Complementing the previous chapter that presented a generic approach and results for access networks and customer premise equipment, we present a model to assess the energy intensity of the core networks, yielding the result of 0.052kWh/GB. Abstract. Environmental assessments of digital services seeking to take into account the Internet's energy footprint typically require models of the energy intensity of the Internet. Existing models have arrived at conflicting results. This has lead to increased uncertainty and reduced comparability of assessment results. We present a bottom-up model for the energy intensity of the Internet that draws from the current state of knowledge in the field and is specifically directed towards assessments of digital services. We present the numeric results and explain the application of the model in practice. Complementing the previous chapter that presented a generic approach and results for access networks and customer premise equipment, we present a model to assess the energy intensity of the core networks, yielding the result of 0.052kWh/GB.

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“…At the network level, initial works investigated the energy consumption at the hardware level, trying to correlate between network activity and energy spent [20]. Results show that the traffic has little influence on the power consumption compared to the actual switch on of modules or plugs in the switches and routers.…”

Section: Network Levelmentioning

confidence: 99%

Energy: A New Criteria for Performances in Large Scale Distributed Systems

Pierson

2011

Performance Evaluation of Computer and Communication Systems. Milestones and Future Challenges

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Abstract. In the framework of the workshop "Performance Evaluation of Computer and Communication Systems: Milestones and Future Challenges", this paper proposes to address the emerging criteria of energy. Used since a long time in embedded systems where battery operated devices needed a careful handling, the energy metric is taking a large momentum in the last years on large scale systems where thousands of nodes collaborate to serve high end infrastructures like web servers, clouds and grids.

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Energy Consumption of Residential and Professional Switches

Cited by 54 publications

References 5 publications

A survey on techniques for improving the energy efficiency of large-scale distributed systems

A survey on techniques for improving the energy efficiency of large-scale distributed systems

The Energy Intensity of the Internet: Edge and Core Networks

Energy: A New Criteria for Performances in Large Scale Distributed Systems

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