Enabling backbone networks to sleep

Bolla, Raffaele; Bruschi, Roberto; Cianfrani, Antonio; Listanti, Marco

doi:10.1109/mnet.2011.5730525

Cited by 77 publications

(44 citation statements)

References 8 publications

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“…Todo esto, con la restricción de que no se supere la probabilidad de bloqueo umbral de la red (parámetro de calidad de servicio generalmente utilizado para redes WDM dinámicas [7]). La Figura 4 muestra un patrón de carga de tráfico típico en una conexión de datos, donde se evidencian las grandes variaciones de la carga de tráfico hora a hora [22][23]. En esta se puede apreciar que ρ max y ρ min representan los valores de carga de tráfico máxima y mínima experimentada, respectivamente.…”

Section: Propuesta De Funcionamiento De Apagado Y Encendido De Disposunclassified

“…En esta se puede apreciar que ρ max y ρ min representan los valores de carga de tráfico máxima y mínima experimentada, respectivamente. Valores prácticos para la relación 100% ρ min /ρ max se encuentran en el rango de 5 al 35% [22]. Para determinar el número de regeneradores encendidos/apagados se toma en cuenta que este parámetro depende de la capacidad o número de longitudes de onda necesaria en una red [15].…”

Section: Propuesta De Funcionamiento De Apagado Y Encendido De Disposunclassified

“…De esta forma, la relación 100% · ρ min / ρ max es igual a 20%, el que se encuentra en el rango típico reportado para este parámetro (5 al 35% [22,30]). Para obtener los valores intermedios de la carga de tráfico se realiza un ajuste de curva de acuerdo con el patrón de la Figura 4.…”

Section: Pasounclassified

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Estrategia de eficiencia energética para redes WDM dinámicas

Leiva

Peralta

Alonso

et al. 2014

Ingeniare. Rev. chil. ing.

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RESUMENSe propone y evalúa un mecanismo de funcionamiento de redes WDM (Wavelength Division Multiplexing) dinámicas con la finalidad de reducir el consumo energético de la capa óptica de estas sin afectar el rendimiento en términos de probabilidad de bloqueo de las conexiones. El mecanismo propuesto, denominado Load-Aware Turn On-Off, consiste en controlar continuamente (a cada hora) el número de transpondedores optoelectrónicos (transmisores/receptores WDM y regeneradores) encendidos y/o apagados de los nodos WDM de acuerdo con la carga de tráfico ofrecida a la red y a la probabilidad de bloqueo máxima permitida. Resultados obtenidos mediante simulación, considerando la topología física de la NSFNet (National Science Foundation's Network), demuestran que este método de funcionamiento puede ahorrar 15% de consumo de energía comparado con una red WDM dinámica que no cuenta con estrategias de eficiencia energética. Estos resultados pueden ser de interés a los operadores de telecomunicaciones que se encuentren evaluando la factibilidad de implementar redes WDM dinámicas en un futuro.

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Section: Propuesta De Funcionamiento De Apagado Y Encendido De Disposunclassified

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Estrategia de eficiencia energética para redes WDM dinámicas

Leiva

Peralta

Alonso

et al. 2014

Ingeniare. Rev. chil. ing.

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“…Such networks aim to minimize energy usage or prevent the consumption of non-renewable energy (e.g., produced by traditional coal plants). From the business viewpoint, there are at least three aspects encouraging energy-efficiency [2]: (a) high costs of energy; (b) if energy usage is too high, its supply can simply be cut off, which can replace capacity as a bottleneck in network management and operation [10]; (c) pressures on the industry to protect the environment may force regulators to introduce energy-saving policies. All these aspects are important for the operators rather than the clients, who simply require uninterrupted services.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficiency versus resilience: risk awareness view on dimensioning of optical networks with a sleep mode

Chołda

Jaglarz

2015

Photon Netw Commun

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This article proposes to solve the trade-off between energy-efficiency and resilience with a focus on business mechanisms. Risk engineering is used as a foundation. Financial impact (penalty) quantification with various compensation policies is applied, and business-relevant risk measures are used during the risk assessment. Then, risk mitigation strategies are evaluated to select the appropriate risk response. The approach is presented in networks with energy profiles supporting a sleep mode. An effective heuristic is used to assign flows, and it is shown that the energy-efficiency performance is substantially independent of the recovery methods selected for risk mitigation. It is also demonstrated that backup resources can be switched off in the normal state without having a considerable impact from a financial viewpoint.

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“…If the lightly loaded lightpaths can be monitored and put into sleep mode by traffic engineering significant energy can be saved. Virtual topology reconfiguration with the support of standby primitives for line cards is presented in [1] and in [2] authors propose a logical topology design approach periodically solving the problem for each traffic matrix independently for different times of the day which requires to solve an NP complete problem and therefore requires complex optimization methods.…”

Section: Introductionmentioning

confidence: 99%

Energy-aware virtual topology reconfiguration under dynamic traffic

Yayimli

Çavdar

2012

2012 14th International Conference on Transparent Optical Networks (ICTON)

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In an IP over WDM network architecture, IP traffic is carried over a virtual topology (VT), composed of optical transparent channels called lightpaths. We propose an energy-efficient dynamic VT adaptation method with sleep mode, which allows changing only one lightpath connectivity at a time by dynamically monitoring the IP packet traffic load on each lightpath. In order to assure the connectivity of future traffic increase a high-load threshold is used. When the packet traffic load on a specific lightpath becomes higher than a threshold, a new lightpath is added to the virtual topology. However this congestion avoidance policy increases the power consumption by activating transponders in the network. Therefore at the same time lightly loaded lightpaths are eliminated in the virtual topology by using a low-load threshold. Energy-efficient virtual topology adaptation is achieved by traffic offloading considering both lightly loaded and heavily loaded links in the network. In this regard, high-and low-load threshold values need to be carefully determined in order to both gain power and ensure load balancing with keeping the stability of virtual connectivity at a reasonable level.We have analysed the power consumption of the network during 48-hours for different values of low-and high-load thresholds together with the impact of different threshold values on the stability of the virtual topology. We have shown that there is a trade-off between number of changes in the virtual topology and the energy-efficiency. Experimental results demonstrate that a good compromise can be achieved by adjusting the high-and low-load thresholds carefully. Keywords: Energy-efficiency, IP over WDM networks, optical WDM networks, virtual topology reconfiguration, dynamic traffic. INTRODUCTIONInternet has become a significant part of our daily life leading to a rapid increase in traffic rates. Power consumption per user is continuously increasing although power consumption per bit is decreasing with the evolution of power efficient devices in telecommunication networks. In order to meet the requirements of this increasing traffic demands, today's optical wavelength division multiplexing (WDM) networks as a backbone transmission system, is designed to be over-dimensioned, with extra switching capacity and excess number of deployed links, taking into account the peak rates and future growth of the traffic, resulting in waste of energy.In an IP over WDM network architecture, IP traffic is carried over a virtual topology (VT), composed of optical transparent channels called lightpaths. In transparent optical networks, lightpaths are the most power consuming elements due to the electro-optical operations during the add/drop. Generally, the intensity of traffic on lightpaths follows a daily traffic profile, decreases during the early hours of the morning, starts to increase again after 9 am, and peaks during the daytime. In different time zones, the peak traffic intensities occur at different times, relative to a global clock reference...

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Enabling backbone networks to sleep

Cited by 77 publications

References 8 publications

Estrategia de eficiencia energética para redes WDM dinámicas

Estrategia de eficiencia energética para redes WDM dinámicas

Energy-efficiency versus resilience: risk awareness view on dimensioning of optical networks with a sleep mode

Energy-aware virtual topology reconfiguration under dynamic traffic

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