Time-Domain Approach to Energy Efficiency: High-Performance Network Element Design

Kharitonov, Daniel

doi:10.1109/glocomw.2009.5360740

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…Indeed, Chabarek et al [5] reported that router power consumption in the idle state is only 10% less than that for the fully loaded state. Almost the same data were reported in [6]. This is because Internet traffic rapidly fluctuates and so it is very difficult to predict future traffic volume, which is necessary to control routers.…”

Section: Introductionmentioning

confidence: 79%

Router Power Reduction through Dynamic Performance Control Based on Traffic Predictions

Ito

Hasegawa

Sato

2012

IEICE Trans. Commun.

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We investigate the possibility of reducing router power consumption through dynamic router performance control. The proposed algorithm employs a typical low pass filter and, therefore, is simple enough to implement in each related element in a router. Numerical experiments using several real Internet traffic data sets show the degree of reduction in power consumption that can be achieved by using the proposed dynamic performance control algorithm. Detailed analysis clarifies the relationships among various parameter values that include packet loss ratios and the degree of power savings. We also propose a simple method based on the leaky bucket model, which can instantaneously estimate the packet loss ratio. It is shown that this simple method yields a good approximation of the results obtained by exact packet-by-packet simulation. The simple method easily enables us to derive appropriate parameter values for the control algorithm for given traffic that may differ in different segments of the Internet.

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Section: Introductionmentioning

confidence: 79%

Router Power Reduction through Dynamic Performance Control Based on Traffic Predictions

Ito

Hasegawa

Sato

2012

IEICE Trans. Commun.

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“…The power consumption of switches and routers has been characterized in different studies such as [23,24] and our own study in [25]. The results show that once the switch is powered on and its ports are activated, the power consumption is close to its maximum value.…”

Section: Prior Studies On Switch Energy Consumptionmentioning

confidence: 92%

“…The results show that once the switch is powered on and its ports are activated, the power consumption is close to its maximum value. For example in [24] that value is around 90% of the peak power consumption for a core router. That means that only 10% of the peak power consumption is dependent on the traffic load.…”

Section: Prior Studies On Switch Energy Consumptionmentioning

confidence: 99%

An experimental power profile of Energy Efficient Ethernet switches

Sivaraman

Reviriego

Zhi

et al. 2014

Computer Communications

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The access network is believed to account for 70-80% of the overall energy consumption of wired networks, attributable in part to the large number of small and inefficient switches deployed in typical homes and enterprises. In order to reduce the per-bit energy consumption of such devices, the Energy Efficient Ethernet (EEE) standard was approved as IEEE 802.3az in 2010 with the aim of making Ethernet devices more energy efficient. However, the potential for energy savings, and their dependence on traffic characteristics, is poorly understood. This paper undertakes a comprehensive study of the energy efficiency of EEE, and makes three new contributions: First, we perform extensive measurements on three commercial EEE switches, and show how their power consumption profile depends on factors such as port counts, traffic loads, packet sizes, and traffic burstiness. Second, we develop a simple yet powerful model that gives analytical estimates of the power consumption of EEE switches under various traffic conditions. Third, we validate the energy savings via experiments in typical deployment scenarios, and estimate the overall reduction in annual energy costs that can be realized with widespread adoption of EEE in the Internet.

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“…p t ) is shown in column four, and the idle power (i.e. p 0 ), which is typically 90% of the maximum power [23], is denoted in column five. The energy per bit (i.e.…”

Section: Average Power Consumption P U Of the Netbook Computermentioning

confidence: 99%

Energy Consumption Comparison of Interactive Cloud-Based and Local Applications

Vishwanath

Jalali

Hinton

et al. 2015

IEEE J. Select. Areas Commun.

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Interactive cloud computing and cloud-based applications are a rapidly growing sector of the expanding digital economy because they provide access to advanced computing and storage services via simple, compact personal devices. Recent studies have suggested that processing a task in the cloud is more energy-efficient than processing the same task locally. However, these studies have generally ignored the power consumption of the network and end-user devices when accessing the cloud. In this paper, we develop a power consumption model for interactive cloud applications that includes the power consumption of enduser devices and the influence of the applications on the power consumption of the various network elements along the path between the user and the cloud data centre. As examples, we apply our model to Google Drive and Microsoft Skydrive's Word processing, Presentation and Spreadsheet interactive applications. We demonstrate via extensive packet-level traffic measurements that the volume of traffic generated by a session of the application vastly exceeds the amount of data keyed in by the user. This has important implications on the overall power consumption of the service. We show that using the cloud to perform certain tasks consumes more power (by a Watt to 10 Watts depending on the scenario) than performing the same tasks locally on a low-power consuming computer and a tablet.

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Time-Domain Approach to Energy Efficiency: High-Performance Network Element Design

Abstract: YearFabrication Technology Slot capacity (full-duplex) Energy Efficiency*

Cited by 13 publications

References 9 publications

Router Power Reduction through Dynamic Performance Control Based on Traffic Predictions

Router Power Reduction through Dynamic Performance Control Based on Traffic Predictions

An experimental power profile of Energy Efficient Ethernet switches

Energy Consumption Comparison of Interactive Cloud-Based and Local Applications

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