Tracks for transport network architecture optimization

Renais, Olivier; Briand, Jacques Le

doi:10.1109/netwks.2012.6381671

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…In particular, we assume that for the FT scenario traffic forecasts are provided for the year 2020. We refer the reader to [21] for a detailed description on how these forecasts are obtained. On the contrary, for the Moroccan scenario we set values in accordance to the current traffic measured over the network.…”

Section: Resultsmentioning

confidence: 99%

Energy efficient content distribution in an ISP network

Modrzejewski

Chiaraviglio

Tahiri

et al. 2013

2013 IEEE Global Communications Conference (GLOBECOM)

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We study the problem of reducing power consumption in an Internet Service Provider (ISP) network by designing the content distribution infrastructure managed by the operator. We propose an algorithm to optimally decide where to cache the content inside the ISP network. We evaluate our solution over two case studies driven by operators feedback. Results show that the energy-efficient design of the content infrastructure brings substantial savings, both in terms of energy and in terms of bandwidth required at the peering point of the operator. Moreover, we study the impact of the content characteristics and the power consumption models. Finally, we derive some insights for the design of future energy-aware networks.

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Section: Resultsmentioning

confidence: 99%

Energy efficient content distribution in an ISP network

Modrzejewski

Chiaraviglio

Tahiri

et al. 2013

2013 IEEE Global Communications Conference (GLOBECOM)

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“…The other two physical networks were defined in the Toward Real Energy-efficient Network Design (TREND) project [26] as forecasts for the year 2020. Topologies and traffic matrices were provided by France Telecom (FT) and Telefónica Investigación y Desarrollo (TID) [27,28]. Germany17 topology is composed of 17 nodes and 26 physical links, resulting in a larger average nodal degree (3.06) than the Abilene topology (2.5).…”

Section: A Network and Trafficmentioning

confidence: 99%

“…The FT physical topology consists of 46 nodes and 76 physical links, while the TID physical topology consists of 33 nodes and 53 physical links [28], with average nodal degrees equal to 3.3 and 3.2, respectively. More details about the FT and TID scenarios can be found in [27,28]. Traffic data is envisioned by FT and TID according to three forecasted traffic levels named low load (LL), medium load (ML), and high load (HL).…”

Section: A Network and Trafficmentioning

confidence: 99%

Energy-Aware Design of Multilayer Core Networks [Invited]

Ahmad¹,

Bianco²,

Bonetto³

et al. 2013

J. Opt. Commun. Netw.

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Abstract-We consider the power-efficient design of an Internet protocol (IP)-over-wavelength division multiplexing (WDM) network, tackling the problem of installing optical and IP layer equipment to satisfy traffic requirements. We take into account routing constraints and consider a comprehensive set of realistic scenarios defined by network topology, traffic matrix, and power consumption values of network devices in both layers. Furthermore, besides defining and solving an optimal integer linear programming model, we propose an efficient heuristic to solve the problem up to medium-sized networks. The proposed heuristic requires at most 30% of additional power with respect to the optimal solution, but with a significantly reduced complexity. We show that the largest power consumption is due to line cards and routers rather than WDM equipment. Furthermore, we find that multipath routing reduces the network power consumption with respect to single-path routing, but not significantly. Finally, we show that a two-step design procedure, in which power is separately minimized in each layer (i.e., IP and WDM layers), can find results with a total power consumption comparable to the one achieved by a more complex joint multilayer design procedure.

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