Energy consumption optimization for software defined networks considering dynamic traffic

Markiewicz, Adam; Tran, Phuong Nga; Timm‐Giel, Andreas

doi:10.1109/cloudnet.2014.6968985

Cited by 42 publications

(58 citation statements)

References 12 publications

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“…To do so, they used the connections between forwarding devices to derive an expanded network topology. Markiewicz et al [25] formulated an MILP model that aims to switch on a minimum number of routers and links to handle the traffic. To solve the problem for large networks, they present a heuristic method, called Strategic Greedy Heuristic (SGH), that iteratively selects a pre-computed shortest path for each request, according to four different strategies of processing order of requests.…”

Section: Traffic-based Solutionsmentioning

confidence: 99%

“…[24] Centralized green traffic routing based on an expanded topology of chassis and line-cards under a given traffic matrix MLU and packet delay SDN with centralize and out-of-band control [25] Green path selection of precomputed shortest paths with different processing order of a given traffic matrix …”

Section: Topology-based Solutionsmentioning

confidence: 99%

“…SGH [25] is an energy-aware routing solution based on knowledge of the incoming traffic requests. This proposal selects, using a pre-calculated set of shortest paths, the most suitable path in terms of energy savings to allocate each traffic demand, as long as it has enough capacity.…”

Section: Assessment Of Energy Saving Potentialmentioning

confidence: 99%

See 2 more Smart Citations

Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems

2017

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Abstract:The increasing power consumption and related environmental implications currently generated by large data networks have become a major concern over the last decade. Given the drastic traffic increase expected in 5G dense environments, the energy consumption problem becomes even more concerning and challenging. In this context, Software-Defined Networks (SDN), a key technology enabler for 5G systems, can be seen as an attractive solution. In these programmable networks, an energy-aware solution could be easily implemented leveraging the capabilities provided by control and data plane separation. This paper investigates the impact of energy-aware routing on network performance. To that end, we propose a novel energy-aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations where real topologies and demands data are used. Moreover, the obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and Ternary Content Addressable Memory (TCAM) occupation are affected by the performance-agnostic energy-aware model.

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Section: Traffic-based Solutionsmentioning

confidence: 99%

Section: Topology-based Solutionsmentioning

confidence: 99%

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Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems

2017

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“…[7]'de, ag nispeten boşken trafigi alternatif yollardan yeniden yönlendirip baglantı yüklerini dengeleyerek güç yönetiminin nasıl en iyilenebilecegini anlatılmıştır. [8]'de, bütün anahtarların sürekli aktif olması yerine en az sayıda ag aygıtı kullanarak trafigi taşıyan enerji tasarruf mekanizması önerilmiştir. Bu çalışmada, problemi MILP(Mixed-integer linear programming) olarak formüle edip 4 farklı strateji kullanan sezgisel algoritma verilmiştir.…”

Section: Introductionunclassified

Flow based power efficient routing for software defined networks

Aydogmus

Özbek

Koyuncu

et al. 2016

2016 24th Signal Processing and Communication Application Conference (SIU)

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Özetçe -Mobil uygulamaların gittikçe yaygınlaşması ile artan trafik çeşitliligi ve hacmi, aglarda taşınan trafigin yönetilmesi ihtiyacını kuvvetlendirdi. Yazılım tanımlı aglar, trafik yöneti-mini kullanarak belirlenen gereksinimleri karşılarken, verimi maksimuma çıkararak agları yönetebilir. Bu bildiride, agdaki aktif anahtar sayısına dayanan güç tüketimini minimuma indiren bir yol atama algoritması öneriyoruz. Baglantı kapasitesi kısıtlamalarını göz önüne alarak, akışların veri hacmi gereksinimlerini karşılayan en iyi yolu bulmak için genetik algoritma kullanıp, düşük karmaşıklıklı yeni bir yol atama yaklaşımı öner-iyoruz. Önerilen algoritmanın verilen ag topolojisinde çeşitli akış veri hacmi kısıtlamalarına göre performans degerlendirmelerini sunuyoruz.Anahtar Kelimeler-Yazılım tanımlı ag, yol atama, genetik algoritma.Abstract-Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networking can manage network while enabling new services by employing traffic management whose goal is to maximize the utility objective while satisfying given requirements. In this paper, we propose an efficient routing to minimize the cost based on power consumption determined by the number of active switches in a software defined networks. An optimum solution obtained by genetic algorithm and a reduced complexity routing approach are proposed while satisfying throughput requirements of flows for given constraints on link capacities in the network. We provide the performance evaluations of the proposed algorithms with respect to different throughput constraints of flows in a given network topology.

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“…In [14], how to optimize power management globally at network level has been considered by re-routing traffic through different paths to adjust the load of links when the network is relatively idle. In [15], the energy saving mechanism has been presented by turning on a minimal amount of network devices to carry the traffic, instead of powering on all switches at all time by formulating as an MILP problem and presenting an heuristic algorithm with four different strategies. In [16], a pre-established multi-path model has been described for energy-aware routing.…”

Section: Introductionmentioning

confidence: 99%

Energy aware routing and traffic management for software defined networks

Özbek

Aydogmus

Ulas

et al. 2016

2016 IEEE NetSoft Conference and Workshops (NetSoft)

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Abstract-Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networks can simplify network management while enabling new services by employing traffic management including routing whose goal is to maximize the given utility while satisfying capacity requirements. In this paper, we propose an efficient routing algorithm to minimize the cost based on power consumption determined by the number of active OpenFlow switches in a software defined network while satisfying throughput requirements of all flows according to constraints on link capacities in the network. We evaluate the performance of the proposed algorithm based on the number of active switches for different network topologies with various scenarios.

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Energy consumption optimization for software defined networks considering dynamic traffic

Cited by 42 publications

References 12 publications

Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems

Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems

Flow based power efficient routing for software defined networks

Energy aware routing and traffic management for software defined networks

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