An energy-delay model for a packet coalescer

Mostowfi, Mehrgan; Christensen, Ken

doi:10.1109/secon.2012.6196920

Cited by 16 publications

(20 citation statements)

References 11 publications

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“…VI. The upper bound given by (20) is also shown in the graph. The results evidence that, at low rates, size-based coalescing achieves longer sleeping periods, although there is still some room for improvement.…”

Section: Discussionmentioning

confidence: 99%

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Dynamic EEE Coalescing: Techniques and Bounds

Herrería-Alonso

Rodríguez-Pérez

Fernández‐Veiga

et al. 2019

IEEE Trans. on Green Commun. Netw.

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Frame coalescing is one of the most efficient techniques to manage the low power idle (LPI) mode supported by Energy Efficient Ethernet (EEE) interfaces. This technique enables EEE interfaces to remain in the LPI mode for a certain amount of time upon the arrival of the first frame (time-based coalescing) or until a predefined amount of traffic accumulates in the transmission buffer (size-based coalescing). This paper provides new insights on the practical efficiency limits of both coalescing techniques. In particular, we derive the fundamental limits on the maximum energy savings considering a target average frame delay. Additionally, we present new open-loop adaptive variants of both time-based and size-based coalescing techniques. These proposals dynamically adjust the length of the sleeping periods in accordance with actual traffic conditions to reduce energy consumption while keeping the average delay near a predefined value simultaneously. Analytical and simulation results show that the energy consumption of both proposals is comparable to the fundamental limits. Consequently, we recommend the usage of the time-based algorithm in most scenarios because of its simplicity as well as its ability to bound the maximum frame delay at the same time.

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Section: Discussionmentioning

confidence: 99%

“…More interesting are those models addressing the energy-delay trade-off. For instance, [20] presents a deterministic model for size-based coalescers while [21] models time-based coalescers for Poisson arrivals.…”

Section: B Eee Analytical Modelsmentioning

confidence: 99%

Dynamic EEE Coalescing: Techniques and Bounds

Herrería-Alonso

Rodríguez-Pérez

Fernández‐Veiga

et al. 2019

IEEE Trans. on Green Commun. Netw.

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“…In [5], the authors propose an analytical model that allows to compute fast the potential EEE energy saving, using simple statistical parameters for unidirectional traffic. In [12], using parameters such as the packet arrival time and the service rate of the coalescer, the model is able to compute the mean queue length, the mean packet delay, and the delay for the downstream queue for 10-Gb/s links. A two-state analytical model for 10GBASE-T links is presented in [7] that estimates the energy consumption of EEE links.…”

Section: Related Workmentioning

confidence: 99%

“…The probability of being in a state is equal to the fraction of time that the link spends in that state over a cycle. Specifically, the mean cycle duration is the sum of the above described cycle components, i.e., (12) while the coefficients are given in the following definition. Definition 1: The probability that the link is in state for is given by .…”

Section: State Probabilitiesmentioning

confidence: 99%

An M/G/1 Model for Gigabit Energy Efficient Ethernet Links With Coalescing and Real-Trace-Based Evaluation

Chatzipapas

Mancuso

2016

IEEE/ACM Trans. Networking

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In this paper, we analytically model the behavior of gigabit Energy Efficient Ethernet (EEE) links with coalescing using M/G/1 queues with sleep and wake-up periods. The particularity of gigabit EEE links is that energy-saving operations are triggered only when links are inactive in both transmission directions. Our model approximates with a good accuracy both the energy saving and the average packet delay by using a few significant traffic descriptors. Furthermore, we use real traffic traces to investigate on the performance of static as well as dynamic coalescing schemes. Surprisingly, our evaluation shows that dynamic coalescing does not significantly outperform static coalescing. Index Terms-Bidirectional links, dynamic coalescing, EEE.1063-6692

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“…In [5] the authors propose an analytical model that allows to compute fast the potential EEE power saving and it performs very well for EEE links with no coalescing, using simple statistical parameters for unidirectional traffic. In [10], using parameters such as the packet arrival time and the service rate of the coalescer, the model is able to compute the mean queue length, the mean packet delay and the delay for the downstream queue for 10 Gbps links. A two state analytical model for 10GBase-T links is presented in [6] that estimates the power consumption of EEE links.…”

Section: Modeling Of Eeementioning

confidence: 99%

Modelling and real-trace-based evaluation of static and dynamic coalescing for energy efficient ethernet

Chatzipapas

Mancuso

2013

Proceedings of the Fourth International Conference on Future Energy Systems

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The IEEE Standard 802.3az, namely Energy Efficient Ethernet (EEE), has been recently introduced to reduce the power consumed in LANs. Since then, researchers have proposed various traffic shaping techniques to leverage EEE in order to boost power saving. In particular, packet coalescing is a promising mechanism which can be used on top of EEE to tradeoff power saving and packet delay. In this paper, we analyze the interesting and special case of 1000Base-T EEE links, in which power saving operations are triggered only when links are inactive in both transmission directions. We are the first to provide an analytical model for EEE 1000Base-T which accounts for the bidirectional nature of LAN traffic. Our model allows to compute the power saving achieved by EEE, with and without packet coalescing, by using a few significant traffic descriptors. Furthermore, we use real traffic traces to investigate on the performance of static as well as dynamic coalescing schemes. Our results show that dynamic coalescing does not significantly outperform static coalescing in terms of power save and delay.

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An energy-delay model for a packet coalescer

Cited by 16 publications

References 11 publications

Dynamic EEE Coalescing: Techniques and Bounds

Dynamic EEE Coalescing: Techniques and Bounds

An M/G/1 Model for Gigabit Energy Efficient Ethernet Links With Coalescing and Real-Trace-Based Evaluation

Modelling and real-trace-based evaluation of static and dynamic coalescing for energy efficient ethernet

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