Green lightpath provisioning in transparent WDM networks: Pros and cons

Wiatr, Pawel; Monti, Paolo; Wosinska, Lena

doi:10.1109/ants.2010.5983512

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…We thus find that the strategies leading to the lowest energy consumption (A or B, see higher) are also those with lower blocking. This may sound contradictory to earlier work described in [38], showing a tradeoff between energy efficiency and blocking due to network resource fragmentation resulting from long EE paths. However, this work is different in several ways.…”

Section: B Assisted Anycast (Aa)contrasting

confidence: 54%

“…We mention that when α = β = γ = 1, the function P F A (l, φ) attributes each link the extra power it requires if that link (virtual or actual) were to be used to handle request r. By changing the values of α, β and γ, we change the relative importance of power contributions of links, OXCs or data centers, which has been shown to impact the QoS (e.g., blocking [38]). Moreover, by choosing a value different from one for α, β and γ the algorithm is no longer a greedy one and inactivates network resources, although minimizing the infrastructure's energy would activate them.…”

Section: A Full Anycast (Fa)mentioning

confidence: 99%

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Energy-Efficient Resource-Provisioning Algorithms for Optical Clouds

Buysse¹,

Georgakilas

Tzanakaki

et al. 2013

J. Opt. Commun. Netw.

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Abstract-Rising energy costs and climate change have led to an increased concern for energy-efficiency (EE). As Information and Communication Technology (ICT) is responsible for about 4% of total energy consumption worldwide, it is essential to devise policies aimed at reducing it. In this paper, we propose a routing and scheduling algorithm for a cloud architecture, which targets minimal total energy consumption by enabling switching off unused network and/or Information Technology (IT) resources, exploiting the cloud-specific anycast principle. A detailed energy model for the entire cloud infrastructure comprising wide area optical network and IT resources is provided. This model is used to make a single-step decision on which IT end points to use for a given request, including the routing of the network connection towards these end points. Our simulations quantitatively assess the EE algorithm's potential energy savings, but also assess the influence this may have on traditional Quality of Service parameters such as service blocking. Furthermore, we compare the one-step scheduling with traditional scheduling and routing schemes, which calculate the resource provisioning in a two-step approach (selecting first the destination IT end point, and subsequently using unicast routing towards it). We show that depending on the offered infrastructure load, our proposed onestep calculation considerably lowers the total energy consumption (reduction up to 50%) compared to the traditional iterative scheduling and routing, especially in low to medium load scenarios, without any significant increase in the service blocking.

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Section: B Assisted Anycast (Aa)contrasting

confidence: 54%

Section: A Full Anycast (Fa)mentioning

confidence: 99%

Energy-Efficient Resource-Provisioning Algorithms for Optical Clouds

Buysse¹,

Georgakilas

Tzanakaki

et al. 2013

J. Opt. Commun. Netw.

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show abstract

“…As a result, the rerouted traffic will likely not be routed over the shortest path anymore; but under the correct constraints could still result in energy savings. Examples of such power-aware routing can be found in [30], [31], [32], [33]. One final aspect to consider with respect to sleep modes is the timing associated with powering-up and -down of (sub)equipment.…”

Section: Power Ratingmentioning

confidence: 99%

Using an analytical power model to survey power saving approaches in backbone networks

Heddeghem

Parker

Lambert

et al. 2012

2012 17th European Conference on Networks and Optical Communications

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Abstract-Several approaches exist to categorize power savings in Information and Communication Technologies (ICT) networks. In this paper we survey current power saving techniques in backbone telecommunication networks, based on an analytical power model. This categorization allows for a more intuitive understanding of the power saving potential of different approaches, and shows that in order to achieve large savings (i.e. more than 10 times reduction of the current power consumption), effort will need to be concentrated on those techniques that reduce either the traffic volume or the equipment power rating. The survey in this paper also provides the basis for a more quantitative evaluation of future power saving techniques.

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“…The research in Wiatr et al (2010) has considered blocking rate as the QoS parameter which is being traded off with energy efficiency. In order to avoid creation of bottleneck links, weighted power aware routing and wavelength assignment algorithm (W-PA-RWA) has been proposed in which the link cost assignment is similar to MU-RWA with a slight difference.…”

Section: Introductionmentioning

confidence: 99%