Green Provisioning for Optical WDM Networks

Xia, Ming; Tornatore, Massimo; Zhang, Yi; Chowdhury, Pulak; Martel, Charles U.; Mukherjee, Biswanath

doi:10.1109/jstqe.2010.2050867

Cited by 75 publications

(41 citation statements)

References 22 publications

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“…The field of network energy-efficiency is described in many excellent surveys [7,9,49,67]. They present the justification for dealing with energy-efficiency in optical backbone networks.…”

Section: Energy-efficiency In Resilient Networkmentioning

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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“…The field of network energy-efficiency is described in many excellent surveys [7,9,49,67]. They present the justification for dealing with energy-efficiency in optical backbone networks.…”

Section: Energy-efficiency In Resilient Networkmentioning

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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“…Xia et al [7] discuss the energy and traffic flow details of every operation in an IP-over-WDM network. They subsequently propose an energy-aware routing algorithm that uses an auxiliary graph to represent the consumption of each operation, both at the IP and WDM layers.…”

Section: Related Workmentioning

confidence: 99%

“…in [8], [5], [7], it is assumed that energy consumption P has the following linear relationship with traffic:…”

Section: B Energy Analysis Of Traffic Flow In Different Casesmentioning

confidence: 99%

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Energy-aware path selection for scheduled lightpaths in IP-over-WDM networks

Yang

Kuipers

2011

2011 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT)

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Abstract-Traffic grooming, i.e. the aggregation of multiple traffic streams on one channel or wavelength, has often been considered in the context of reducing blocking and improving capacity utilization. More recently, traffic grooming has also been advocated in the context of energy-aware routing. In this paper we study energy-efficient path selection under the scheduled traffic model in IP-over-WDM optical networks. We show that there is indeed a strong relation between traffic grooming and energy efficiency, but also that it sometimes pays off not to groom. We propose an energy-aware routing algorithm that is based on traffic grooming, but which has the flexibility to deviate from it where needed. Our approach can be applied to networks with and without wavelength conversion. Simulations show that our energy-aware routing algorithm both brings significant energy savings as well as a lower blocking probability in comparison to a shortest paths based routing algorithm and a traffic grooming algorithm. I. INTRODUCTIONIn wavelength division multiplexing (WDM) technology, the capacity of a fiber is divided into several non-overlapping wavelength channels that can transport data independently. These wavelength channels make up lightpaths that are used to establish optical connections that may span several fiber links. With current commercial technology, each lightpath can be independently operated at data rates of several Gb/s. However, traffic between a pair of nodes may not be able to fill up the available bandwidth of a lightpath. In order to efficiently utilize the available bandwidth, several independent traffic streams can be aggregated to share the capacity of a lightpath. This is known as traffic grooming (e.g., see [1]). While traffic grooming has obvious potential to increase throughput, the grooming of traffic may also lead to energy efficiency, although this is not always the case. The main contributions of this paper are (1) a model for energy consumption in IP-over-WDM networks, (2) an energy-aware algorithm, for allocating scheduled lightpaths, that finds the best balance between traffic grooming or setting up a new lightpath, and (3) a simulative study to the effect of introducing wavelength conversion on the overall blocking probability and consumed energy.The remainder of this paper is organized as follows. Section II presents related work. Section III describes our network model and analyzes the energy consumption with traffic grooming and when setting up a new lightpath. An energyaware routing algorithm for dynamic traffic is proposed in Section IV. Dynamic traffic refers to requests that come in an

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“…In [6], the authors propose an MILP and a heuristic to solve the RWA (routing and wavelength assignment) problem and decrease the number of lightpath interfaces to minimize the energy consumption of the network. The authors in [7], target a green provisioning strategy for optical backbone networks to reduce the operational power. Operational power is route and strategy dependent e.g.…”

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confidence: 99%

Energy Minimized design of Mixed Line Rate IP-over-WDM Network

2017

IJIET

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Abstract-Power consumption in IP-over-WDM networks has become a major concern, more so due to rapidly evolving data intensive applications. Increasing power consumption also increases the environmental cost (carbon emission). Carbon emissions are the result of power generation using non-renewable (traditional hydrocarbons) energy resources. Usage of non-renewable energy resources (such as hydrocarbons, fossil fuel) is a major cause of global warming. An idea to reduce carbon emission is to maximize the use of renewable energy at each node .This not only gives the opportunity to reduce the carbon emission but also leads to development of sustainable infrastructure. Wind and solar are two important resources of renewable energy today. However, green energy generated by these resources is dependent on time of the day and environmental conditions. Since green energy supply is intermittent and not always available, green nodes are backed up by traditional hydrocarbon grid energy. Efficient use of green energy to minimize carbon emission and energy cost is a challenge. We propose MILP (mixed integer linear program) that minimizes the overall non-renewable energy consumption of the MLR WDM network. This MILP model uses mixed-line-rate (MLR) over the single-line-rate (SLR) in WDM. We also compare the non-renewable energy consumption of MLR-WDM network with that of SLR-WDM network. Optimization results indicate that proposed MILP can reduce the overall non-renewable energy consumption of the network up to 35%. In addition, it also reduces the number of transponders used in MLR as compared to SLR networks. Since the number of transponders utilized in the optical layer is directly proportional to the power consumed, therefore with MLR network, non-renewable energy consumption can be reduced in comparison to SLR network.

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Green Provisioning for Optical WDM Networks

Cited by 75 publications

References 22 publications

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

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

Energy-aware path selection for scheduled lightpaths in IP-over-WDM networks

Energy Minimized design of Mixed Line Rate IP-over-WDM Network

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