Modeling and understanding burst transmission for energy efficient ethernet

Meng, Jinli; Ren, Fengyuan; Chen, Lin

doi:10.1016/j.comnet.2017.03.020

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…All the LCs of a router is put in low power idle mode (LPI) until the buffer collects a threshold number for packets, defined as burst size or a preset timeout (in ms) occurs. Once burstfull or timeout occurs, all the LCs is turned on and starts to service 18,19 . Through the experiments, it has been shown that thresholds for burstfull and timeout are directly proportional to energy efficiency and packet delay 17 .…”

Section: Related Workmentioning

confidence: 99%

Selective wakeup for parallel forward engines under variable load towards energy conservation in IP routers

Shahul Hamead,

Mirnalinee,

Kavipriya

2023

Concurrency and Computation

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SummaryRecent studies have shown that a large amount of energy consumption in the communication medium occurs at the data processing plane. The data plane executes the forwarding decisions in the routers and switches. Through initial studies, the line card was identified as the most granular component of the router and later forward engine, a sub component of line card has been recognized as the most power intensive component of routers. Fundamental techniques like link rate adaption, sleep and wake‐up have been imposed to reduce the energy at line cards and forward engines. On the other hand, router's architectures undergo drastic changes like empowering data plane with parallel processing due to the rise of gigabit routers. In this paper, to increase the degree of local autonomy and better energy savings, we have adopted the parallel processing design and imposed a variable amount of traffic on different line cards. The existing parallel forward engines perform load balancing in synchronous manner. In our design, asynchronous behavior is imposed such that every line card could independently decide to wake up or turn off their forward engine based on the traffic parameters. We have done simulations and witnessed increased energy savings (average sleeping time) without compromising the completion of lookup process.

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Section: Related Workmentioning

confidence: 99%

Selective wakeup for parallel forward engines under variable load towards energy conservation in IP routers

Shahul Hamead,

Mirnalinee,

Kavipriya

2023

Concurrency and Computation

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“…with C the link capacity and L the average frame size. Substituting (24) into (23) we obtain the B value that guaranties a given approximation to the ideal sleeping interval for any load:…”

Section: Approximating Ideal Eee Interface Consumptionmentioning

confidence: 99%

“…2 On the other hand, time-based coalescers use the time spent in LPI, or since the first arrival while in LPI, to decide when to restart transmitting traffic. There is ample literature modeling the energy consumption [6] or even the energy-delay tradeoffs, either just for size-based [20] coalescers, for time-based [21] ones or even for the general case [22,23,7,5,24].…”

Section: Related Workmentioning

confidence: 99%

Leveraging energy saving capabilities of current EEE interfaces via pre-coalescing

Rodríguez-Pérez

Herrería-Alonso

Rodríguez-Rubio

et al. 2020

Journal of Network and Computer Applications

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The low power idle mode implemented by Energy Efficient Ethernet (EEE) allows network interfaces to save up to 90 % of their nominal energy consumption when idling. There is an ample body of research that recommends the use of frame coalescing algorithms-that enter the low power mode as soon as there is no more traffic waiting to be sent, and delay the exit from this mode until there is an acceptable amount of traffic queued-to minimize energy usage while maintaining an acceptable performance. However, EEE capable hardware from several manufactures delays the entrance to the low power mode for a considerable amount of time (hysteresis). In this paper we augment existing EEE energy models to account for the hysteresis delay and show that, using the configuration ranges provided by manufacturers, most existing EEE networking devices are unable to obtain significant energy savings. To improve their energy efficiency, we propose to implement frame coalescing directly at traffic sources, before reaching the network interface. We also derive the optimum coalescing parameters to obtain a given target energy consumption at the EEE device when its configuration parameters are known in advance.

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“…We then compared the proposed schemes with static coalescing techniques in which the coalescing parameter is configured with a fixed value regardless of actual traffic conditions as those analyzed in [8], [22], [23]. To ensure a fair comparison, the coalescing parameters of the static coalescers were configured with the values required to get an average delay equal to the corresponding target delay when λ = 5 Gb/s.…”

Section: A Comparison With Static Coalescingmentioning

confidence: 99%

“…Most models analyze the general case that considers the joint use of time-based and size-based coalescing algorithms, both for 1000BASE-T interfaces [11], [12] and for 10GBASE-T ones [6], [8], [13], [22], [23].…”

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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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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Modeling and understanding burst transmission for energy efficient ethernet

Cited by 6 publications

References 7 publications

Selective wakeup for parallel forward engines under variable load towards energy conservation in IP routers

Selective wakeup for parallel forward engines under variable load towards energy conservation in IP routers

Leveraging energy saving capabilities of current EEE interfaces via pre-coalescing

Dynamic EEE Coalescing: Techniques and Bounds

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