The Energy-Aware Controller Placement Problem in Software Defined Networks

Hu, Ying; Luo, Tao; Beaulieu, N.C.; Deng, Chunxue

doi:10.1109/lcomm.2016.2645558

Cited by 73 publications

(59 citation statements)

References 10 publications

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“…These protocols are adaptive link rate, 16 synchronized coalescing, 17 and sustainability-oriented network management system, 18 which work at chip, node, and network level, respectively. Although there are other several works that focus on greening SDN networks, eg, by solving the energy-aware controller placement problem, 19 also considering in-band control traffic, 20 avoiding to change the transmission paths of traffic flows until they finish, 21 or respecting rule space constraints on switches, 22 all of them are devised to be applied on full SDN networks, not on hybrid IP/SDN scenarios. Although there are other several works that focus on greening SDN networks, eg, by solving the energy-aware controller placement problem, 19 also considering in-band control traffic, 20 avoiding to change the transmission paths of traffic flows until they finish, 21 or respecting rule space constraints on switches, 22 all of them are devised to be applied on full SDN networks, not on hybrid IP/SDN scenarios.…”

Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

“…With the combination of energy-aware protocols working at different layers, higher opportunities are presented to improve the energy efficiency of an SDN network. Although there are other several works that focus on greening SDN networks, eg, by solving the energy-aware controller placement problem, 19 also considering in-band control traffic, 20 avoiding to change the transmission paths of traffic flows until they finish, 21 or respecting rule space constraints on switches, 22 all of them are devised to be applied on full SDN networks, not on hybrid IP/SDN scenarios.…”

Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

“…Clearly, energy-efficient proposals for hybrid IP/SDN networks will achieve lower power saving outcomes at early stages of the migration process than the optimal ones obtained when they are run on fully deployed SDN networks. [13][14][15][16][17][18][19][20][21][22] To the best of our knowledge, the closest work to our approach is Wei et al, 24 where the power consumption of a hybrid IP/SDN network is minimized by finding the optimal setting of OSPF link weight and splitting ratio on SDN nodes. In particular, IP routers perform shortest path routing by optimizing OSPF link weights, and SDN nodes fulfil multipath routing with traffic flow splitting through the action of the controller.…”

Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

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Exploiting the control power of SDN during the transition from IP to SDN networks

Galán-Jiménez

2018

Int J Communication

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The emerging software-defined networking (SDN) paradigm introduces new opportunities to improve network performance due to the flexibility and programmability provided by a logically centralized element named controller.However, a rapid adoption of the full SDN architecture is difficult in the short term due to economic and technical reasons. This paper faces the SDN nodes replacement problem during the transition from traditional IP networks to fully deployed SDN networks. Six different replacement methods are proposed to select the most appropriate set of traditional IP nodes to be upgraded to SDN-enabled switches at a particular transition stage. To show the effectiveness of the proposed methods, they have been applied on an optimization problem currently studied by the research community: the power consumption problem. An integer linear programming formulation is presented to solve it and a genetic algorithm is evaluated through simulations on realistic network topologies. Results highlight that energy-efficiency in hybrid IP/SDN networks can be significantly improved by only replacing a reduced number of IP nodes. KEYWORDSenergy efficiency, green networking, hybrid IP/SDN networks, software-defined networks Int J Commun Syst. 2018;31:e3504. wileyonlinelibrary.com/journal/dac

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Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

Section: Energy-aware Sdn Nodes Replacementmentioning

confidence: 99%

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Exploiting the control power of SDN during the transition from IP to SDN networks

Galán-Jiménez

2018

Int J Communication

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“…In [15], the authors consider energy saving based on the controller placement problem, aiming at minimizing the energy consumption of the control network, but the energy consumption of the data forwarding plane was neglected.…”

Section: Related Workmentioning

confidence: 99%

“…At present, several works have focused on the energy waste problem in SDN based on coordinated sleeping and considered the problem from the different aspects [13][14][15][16][17][18]. The closest work to this paper is [13], where a typical architecture called ElasticTree is proposed for improving energy efficiency in SDN.…”

Section: Introductionmentioning

confidence: 99%

An Initial Load-Based Green Software Defined Network

Luo

Beaulieu

et al. 2017

Applied Sciences

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Software defined network (SDN) is a new network architecture in which the control function is decoupled from the data forwarding plane, that is attracting wide attentions from both research and industry sectors. However, SDN still faces the energy waste problem as do traditional networks. At present, research on energy saving in SDN is mainly focused on the static optimization of the network with zero load when new traffic arrives, changing the transmission path of the uncompleted traffic which arrived before the optimization, possibly resulting in route oscillation and other deleterious effects. To avoid this, a dynamical energy saving optimization scheme in which the paths of the uncompleted flows will not be changed when new traffic arrives is designed. To find the optimal solution for energy saving, the problem is modeled as a mixed integer linear programming (MILP) problem. As the high complexity of the problem prohibits the optimal solution, an improved heuristic routing algorithm called improved constant weight greedy algorithm (ICWGA) is proposed to find a sub-optimal solution. Simulation results show that the energy saving capacity of ICWGA is close to that of the optimal solution, offering desirable improvement in the energy efficiency of the network.

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A fault tolerance metaheuristic‐based scheme for controller placement problem in wireless software‐defined networks

Samarji

Salamah

2021

Int J Communication

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Software-defined networking (SDN) paradigm has become the master solver for traditional network restrictions. The fundamental concept of SDN is moving the control plane into one or more servers called controllers and confining the data plane to several forwarding network elements allowing dynamic and flexible network management. A critical challenging issue in SDN-based network architecture is the controller placement problem (CPP) that is an NPhard problem. Trends of researches try solving the CPP based on evolutionary algorithms focusing on either propagation delay or balancing the load among distributed controllers. In this paper, we have proposed a fault tolerance metaheuristic-based scheme for CPP in wireless software-defined networks, named FTMBS. The aim of our proposed FTMBS scheme is as follows: maximizing the network connectivity, maximizing the load balance among controllers, minimizing the worst-case latency between controllers and associated nodes and between controllers themselves, and maximizing the network lifetime. When dealing with a multi-objective-based scheme, a trade-off exists mainly when these multi-objective metrics compete with each other, and it will be up to the decision maker to decide on this trade-off. We have considered a network of 500 randomly distributed sensor nodes and demonstrated various simulations for different network performance metrics and concluded that three controllers are enough for such networks. For performance evaluation, we have verified our solutions to be close to Pareto optimal ones provided by non-dominated sorting genetic algorithm-II (NSGA-II).

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The Energy-Aware Controller Placement Problem in Software Defined Networks

Cited by 73 publications

References 10 publications

Exploiting the control power of SDN during the transition from IP to SDN networks

Exploiting the control power of SDN during the transition from IP to SDN networks

An Initial Load-Based Green Software Defined Network

A fault tolerance metaheuristic‐based scheme for controller placement problem in wireless software‐defined networks

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