Energy efficient content distribution in an ISP network

Modrzejewski, Remigiusz; Chiaraviglio, Luca; Tahiri, Issam; Giroire, Frédéric; Rouzic, Esther Le; Bonetto, Edoardo; Musumeci, Francesco; González, Roberto L. V.; Guerrero, Carmen

doi:10.1109/glocom.2013.6831508

Cited by 18 publications

(8 citation statements)

References 22 publications

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“…The CPP problem in CDNs has been extensively studied in the literature, with an encompassing overview given in . The authors in propose an optimization model for energy saving by taking into account the energy consumption of the various network segments traversed by the content. The study investigates the impact of content placement on energy consumption, and shows that the energy and the amount of generated traffic can be influenced by the tailored placement of content.…”

Section: Related Workmentioning

confidence: 99%

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

et al. 2020

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High throughput, resilience, and low latency requirements drive the development of 5G‐enabled content delivery networks (CDNs) which combine core data centers (cDCs) with edge data centers (eDCs) that cache the most popular content closer to the end users for traffic load and latency reduction. Deployed over the existing optical network infrastructure, CDNs are vulnerable to link cut attacks aimed at disrupting the overlay services. Planning a CDN to balance the stringent service requirements and increase resilience to attacks in a cost‐efficient way entails solving the content placement problem (CPP) across the cDCs and eDCs. This article proposes a framework for finding Pareto‐optimal solutions with minimal user‐to‐content distance and maximal robustness to targeted link cuts, under a defined budget. We formulate two optimization problems as integer linear programming (ILP) models. The first, denoted as K‐best CPP with minimal distance (K‐CPP‐minD), identifies the eDC/cDC placement solutions with minimal user‐to‐content distance. The second performs critical link set detection to evaluate the resilience of the K‐CPP‐minD solutions to targeted fiber cuts. Extensive simulations verify that the eDC/cDC selection obtained by our models improves network resilience to link cut attacks without adversely affecting the user‐to‐content distances or the core network traffic mitigation benefits.

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Section: Related Workmentioning

confidence: 99%

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

et al. 2020

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“…Content distribution is thus an important issue for the energy consumption. Thus, an energy-efficient design of content distribution architectures managed by an Internet Service Provider (ISP) has been considered in [15]. The aim is to find the best locations in the ISP topology where to place the content requested by users from the Internet Peering Points (PPs) in order to minimize the energy consumption of the ISP infrastructure including transport, storage caches and servers.…”

Section: B Energy Efficient Network Architecture 1) Energy-efficientmentioning

confidence: 99%

TREND big picture on energy-efficient backbone networks

Rouzic

Indre

Chiaraviglio

et al. 2013

2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)

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Abstract-The ICT (Information and CommunicationTechnology) sector has recently been identified as a growing contributor to worldwide greenhouse gases emissions and power consumption. This has triggered interest for more energy efficient ways to design and operate telecommunication networks. We present an overview of the solutions proposed within the European network of excellence TREND focusing on core and metro networks including data centers. Potential savings are presented and discussed with respect to their impact and applicability within the global picture.

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“…To this end, Energy-Aware Routing solutions have been proposed, see e.g. [2,3]. The principle is to aggregate traffic on a number of network equipements as small as possible, in order to turn off the unused ones.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Service Function Chain Provisioning

Huin

Tomassilli

Giroire

et al. 2018

Electronic Notes in Discrete Mathematics

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Network Function Virtualization (NFV) is a promising network architecture concept to reduce operational costs. In legacy networks, network functions, such as firewall or TCP optimization, are performed by specific hardware. In networks enabling NFV coupled with the Software Defined Network (SDN) paradigm, network functions can be implemented dynamically on generic hardware. This is of primary interest to implement energy efficient solutions, which imply to adapt dynamically the resource usage to the demands. In this paper, we study how to use NFV coupled with SDN to improve the energy efficiency of networks. We consider a setting in which a flow has to go through a Service Function Chain, that is several network functions in a specific order. We propose a decomposition model that relies on lightpath configuration to solve the problem. We show that virtualization allows to obtain between 30% to 55 % of energy savings for networks of different sizes.Affectation économe en énergie de chaînes de services Résumé : La virtualisation des fonctions réseaux (NFV) est un concept d'architecture réseaux prometteur pour réduire les coûts opérationnels. Dans les réseaux traditionnels, les fonctions réseaux, comme un firewall ou un optimisateur TCP, sont effectués sur des équipements spécifiques. Dans les réseaux permettant la NFV ainsi que les réseaux logiciels (Software Defined Networks), les fonctions réseaux peuvent être implémentée dynamiquement sur des équipements génériques. Cela est très prometteur pour mettre en pratique des solutions efficaces en énergie qui implique une adaptation dynamique des ressources aux demandes. Dans ce paper, nous étudions comment utiliser les technologies NFV et SDN pour améliorer l'éfficacité énergétique des réseaux. Nous considérons un cadre dans lequel un flôt doit passer au travers d'une chaîne de fonctions de service, c'est-à-dire par une séquence de fonctions réseaux dans un ordre donné. Nous proposons un modèle de décomposition pour résoudre le problème. Nous montrons que la virtualisation permet d'obtenir entre 30 et 55% de gains énergétiques pour des réseaux de différentes tailles.

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Energy efficient content distribution in an ISP network

Cited by 18 publications

References 22 publications

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

TREND big picture on energy-efficient backbone networks

Energy-Efficient Service Function Chain Provisioning

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