A Power Saving Model for Burst Transmission in Energy-Efficient Ethernet

Herrería-Alonso, Sergio; Rodríguez‐Pérez, Miguel Ángel; Fernández‐Veiga, Manuel; López-García, Cándido

doi:10.1109/lcomm.2011.040111.110547

Cited by 28 publications

(24 citation statements)

References 5 publications

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“…However, the buffer size and the coalescing timeout setting strongly affect the trade-off in EEE performance. Since then, several works addressed modeling and performance analysis of EEE based on various traffic parameters and with and without consideration to packet coalescing [133][134][135][136][137][138][139]. In [133] authors provide an evaluation of static and dynamic coalescing for EEE in which buffer size and timeout are fixed (static) and adapted to traffic pattern (dynamic).…”

Section: ) Node Level A) Hardware Optimisationmentioning

confidence: 99%

Energy saving in carrier-grade networks: A survey

Mâaloul

Fourati

Cousin

2018

Computer Standards & Interfaces

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Summary-Energy consumption of large-scale networks has become a primary concern in a society increasingly dependent on information technology. Novel solutions that contribute to achieving energy savings in wired networks have been proposed to mitigate ongoing and alarming climate change and global warming. A detailed survey of relevant power-saving approaches in wired networks is presented here. We give a special focus on carrier-grade networks. At first we perform a comprehensive study of communication infrastructures regarding energy saving. Then, we highlight key issues to enable green networks, ranging from network design to network operation. After that, we present the major contributors to power consumption in wireline networks. Afterwards, we survey, classify, and compare the main energyaware methods and mechanisms that are the most appropriate for improving the energy efficiency of carrier-grade networks.

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Section: ) Node Level A) Hardware Optimisationmentioning

confidence: 99%

Energy saving in carrier-grade networks: A survey

Mâaloul

Fourati

Cousin

2018

Computer Standards & Interfaces

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“…This mode, known as packet coalescing or burst transmission, avoids unnecessary transitions between the normal and low power modes, greatly improving the energy savings at the cost of additional delays. There exist analytic models for the power savings of burst transmission for both Poisson traffic [11] and for its delay [24], [25]. A general model for general arrival patterns for both frame and burst transmission covering both power usage and delay can be found in [13].…”

Section: Related Workmentioning

confidence: 99%

“…where Q w and T max are the tunable parameters in the burst transmission algorithm [11]. As in the previous section, we will proceed and check whether, with burst transmission, the link energy consumption function is concave.…”

Section: B Burst Transmissionmentioning

confidence: 99%

Optimum Traffic Allocation in Bundled Energy-Efficient Ethernet Links

Rodríguez‐Pérez

Fernández‐Veiga

Herrería-Alonso

et al. 2018

IEEE Systems Journal

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The energy demands of Ethernet links have been an active focus of research in the recent years. This work has enabled a new generation of energy-efficient Ethernet (EEE) interfaces able to adapt their power consumption to the actual traffic demands, thus yielding significant energy savings. With the energy consumption of single network connections being a solved problem, in this paper, we focus on the energy demands of link aggregates that are commonly used to increase the capacity of a network connection. We build on known energy models of single EEE links to derive the energy demands of the whole aggregate as a function on how the traffic load is spread among its powered links. We then provide a practical method to share the load that minimizes overall energy consumption with controlled packet delay and prove that it is valid for a wide range of EEE links. Finally, we validate our method with both synthetic and real traffic traces captured in Internet backbones. Index Terms-Energy efficiency, link aggregation, network interfaces, optimization methods.1932-8184 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. Miguel Rodríguez-Pérez (M'09) received the M.Sc. and Ph.D. degrees in telecommunication engineering from the University of Vigo, Pontevedra, Spain, in 2001 and 2006, respectively. He is currently an Associate Professor with the Department of Telematics Engineering, University of Vigo, where he is also an affiliated member of the colocated Networking Laboratory. His research interests include congestion control and traffic engineering, with a strong focus on energy efficiency. Manuel Fernández-Veiga (SM'12) received the M.Sc. and Ph.D. degrees in telecommunication engineering from the University of Vigo, Pontevedra, Spain, in 1992 and 2001, respectively.He is currently an Associate Professor with the University of Vigo, where he is also an affiliated member of the colocated Networking Laboratory. His research interests include communication theory, performance analysis of computer networks, and wireless networking. He has authored over 50 papers in international conferences and journals.Sergio Herrería-Alonso received the M.Sc. and Ph.D. degrees in telecommunication engineering from the University of Vigo, Pontevedra, Spain, in 2001 and 2006, respectively. He is currently an Associate Professor with the Department of Telematics Engineering, University of Vigo, where he is also an affiliated member of the colocated Networking Laboratory. He has authored or coauthored over 30 papers in peer-reviewed international conferences and journals. His research interests include quality of service in the Internet and energy-efficient networking.

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“…In [10] an analytical model is developed for EEE by means of an M/G/1 queue model which closely gives the times that an EEE link spends in wake and LPI modes, and in transition. In [4] an analytical model for the time the interface spends in LPI and Active modes in EEE with burst transmission is developed. This model also gives the utilization factors for burst transmission in EEE.…”

Section: Related Workmentioning

confidence: 99%

“…None of these works study the delay of the packets as a function of other parameters nor the energy-delay trade-off. Our work differs from [4] in that we exactly modeled energy efficiency for a more constrained case and derived an exact formula for average per-packet delay. To our knowledge, this is the first model that explicitly models energy proportionality and per-packet delay.…”

Section: Related Workmentioning

confidence: 99%

An energy-delay model for a packet coalescer

Mostowfi

Christensen

2012

2012 Proceedings of IEEE Southeastcon

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Newer link-layer protocols -including Energy Efficient Ethernet (EEE) -support a sleep mode to save energy during idle periods. Bursting or coalescing of packets can be used to reduce the overhead from sleep-wake transitions for such links. We develop an energy-delay model for a coalescing queue given deterministic interarrival and service times. We also model the delay of a downstream queue. The model shows that there is a burst size beyond which only little energy savings can be achieved while the packet delay increases linearly. By a simulation study, we show that the results from our model approximate that of an EEE-enabled Ethernet link connected to an uplink.

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A Power Saving Model for Burst Transmission in Energy-Efficient Ethernet

Cited by 28 publications

References 5 publications

Energy saving in carrier-grade networks: A survey

Energy saving in carrier-grade networks: A survey

Optimum Traffic Allocation in Bundled Energy-Efficient Ethernet Links

An energy-delay model for a packet coalescer

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