Green traffic engineering in SDN

Razmnoush, Roya; Bakhshi, Bahador

doi:10.1109/iraniancee.2016.7585610

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Software Defined Green Traffic Engineering (SDGTE) [17] framework minimises active links and switches in backbone networks without knowing the future traffic demand. Authors provide an ILP definition of energy efficient routing problem.…”

Section: Related Workmentioning

confidence: 99%

Energy aware adaptive resource management model for software‐defined networking‐based service provider networks

Çelenlioğlu

Mantar

2021

IET Networks

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Service provider networks (SPNs) seek to implement the resource management mechanisms called load balancing and energy saving to satisfy today's networking demands. Software-defined networking (SDN) allows SPNs to perform agile and efficient networking operations. It is still an open issue on how to implement these resource management mechanisms in SDN-based SPNs. An energy-aware adaptive resource management model (ERM) for SDN-based SPNs is proposed. Load balancing aims to distribute overall network traffic volume as fairly as possible among available links. Energy-saving aims to turn off as many network devices and links as possible. Unlike the works in the literature, our model utilises the trade-off between load balancing and energy efficiency. To do so, the controller establishes paths among edge pairs. The controller aggregates traffic load between edge pairs to as few links as possible based on a predefined load level. Then, unused network elements switch to sleep mode. In the case of load balancing, the controller distributes traffic load among active network resources. Experimental results show that ERM can successfully increase both energy-saving and resource utilization even under heavy traffic loads. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%

Energy aware adaptive resource management model for software‐defined networking‐based service provider networks

Çelenlioğlu

Mantar

2021

IET Networks

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“…Scalability -It can be referred to as competitiveness and stability, which means a network can handle increased demand or changing trends. 81 The techniques GAL, 53 Energy-efficient SON-based user-centric backhaul scheme, 61 SR, EAGER, GAL 53 In-Network Consolidation Algorithm SDGTE 52 ILP Problem Green Monitoring GreenSDN Architecture 16 SustNMS SC AL POX Controller Implementation Green DataPath Architecture 50 DVFS-based algorithm for solving Green data path finding problem (GDP) GreSDN 2 Constant Weight Greedy Algorithm Dynamic Weight Greedy Algorithm Real-time Latency Monitoring 20 Dijkstra's Algorithm Modified Dijkstra's Algorithm RE-aware time resource allocation 59 Energy Efficiency -It relates to the efficient utilization of energy such as energy consumption, energy sufficiency, and energy saving. This feature is included in Energy-efficient SON-based user-centric backhaul scheme, 61 RE aware time resource allocation technique, 59 SR, EAGER and CARE, 48 Dynamic voltage and frequency scaling (DVFS) power management technique, 50 GAL.…”

Section: Comparison Wrt Green Sdn Featuresmentioning

confidence: 99%

“…EANM is associated with the following: (i) to identify the allocation of intelligence in the system (distributed or centralized), (ii) the requested Quality of Service (QoS) by traffic flow, (iii) power profiles of the network devices, (iv) decision about how frequently the re‐configuration of the network should be performed (v) the selection of routing protocols based upon the adopted traffic engineering approach (vi) survivability of the network in terms of failure. For the purpose of minimizing the energy consumption in SDN network, centralized and online EANM 51 approach named Software Defined Green Traffic Engineering (SDGTE) was designed in the work of Razmnoush and Bakhshi 52 …”

Section: Green Sdn Taxonomymentioning

confidence: 99%

“…Moreover, Integer Linear Programming (ILP) problem 52 is implemented in Software Defined Green Traffic Engineering (SDGTE) for finding a green path for routing. The prime objective of the ILP was to minimize the network's power consumption for a specific flow in a network.…”

Section: Comparative Analysismentioning

confidence: 99%

“…For the purpose of minimizing the energy consumption in SDN network, centralized and online EANM 51 approach named Software Defined Green Traffic Engineering (SDGTE) was designed in the work of Razmnoush and Bakhshi. 52 In addition, Green Abstraction Layer (GAL) use was proposed 53 along with its integration in the OpenFlow (OF) protocol that enables an OF controller to be aware of power consumption of each node's hardware component. As a result, GAL aims to provide scalability and optimally allocates resources with reduced energy consumption in the network.…”

Section: Green Control Layermentioning

confidence: 99%

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GREEN SDN — An enhanced paradigm of SDN: Review, taxonomy, and future directions

Moin

Karim

Safdar

et al. 2018

Concurrency and Computation

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Network architectures nowadays are not able to address the requirements of future Internet, as they are not sufficient, ossified, and are power hungry on the TCP/IP paradigm. Therefore, to promote the realizable progression toward the new paradigms and modern protocols, modern routers are required to become programmable for the flexible control and dynamic management of both power states and traffic flows. In this scenario, Software Defined Networking (SDN) is considered as an exemplary approach for providing the support of dynamic traffic flows of each node on a network. Besides the benefits that SDN brought to the networking area, there are still crucial challenges such as to design an effective, lightweight API, rich algorithms, and traffic forwarding rules for SDN layers along with the adoption of an energy efficient infrastructure that could have the least effect on the environment. The aim of this research is to drive the attention toward environment friendly adoption and implementation of SDN that could deal with the growing number of users and network equipment. For this purpose, in this research, a comprehensive review on SDN while mapping the characteristics of green computing with SDN is provided. In addition to that, the research stressed on the benefits of Green SDN through a proposed G-SDN framework. Some well-defined case studies are presented to highlight the need of greening an SDN infrastructure. Finally, various research directions are presented to the wide adoption of SDN technology for academia and industry alike. KEYWORDS green computing, green SDN, SDN, software defined networks 1 INTRODUCTION Software Defined Networking (SDN) offers a high level of flexibility, controllability, and programmability in networks with the power of centralized control. The centralized controller at SDN faces a significant performance drawback when dealing with huge network flows. 1 On the other hand, features provided by SDN allows an ease in deploying the strategies that are designed to overcome the existing problems of power and energy-waste. 2 Green computing refers to the reduction of hazard and toxic materials, improved efficiency of energy including recycling of factory wastage, 3 and it has become an integral part to enhance the reliability of each emerging computing domains. Even the cloud and green computing are applicable side by side to make greener internet and enhance services. The former techniques allow the services with ease when required at a cost of complex infrastructure. However, the later approach has edge in providing all of these services with efficient energy usage, recyclability, low environmental impact, reduced carbon emission, and much more facilities. 4 In addition, to provide the promising services to the intended users, wired and wireless networks 5,6 have been followed by many directions in prior studies 5-7 such as the closing of forward and feedback loops. 8 In this way, there exists a variety of designs such as low-power solutions with slow and fast dynamics. Solutions with sl...

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An Energy Efficient Integral Routing Algorithm for Software-Defined Networks

Neama

Awad

2017

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)

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Green traffic engineering in SDN

Cited by 3 publications

References 9 publications

Energy aware adaptive resource management model for software‐defined networking‐based service provider networks

Energy aware adaptive resource management model for software‐defined networking‐based service provider networks

GREEN SDN — An enhanced paradigm of SDN: Review, taxonomy, and future directions

An Energy Efficient Integral Routing Algorithm for Software-Defined Networks

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