An SDN-based energy-aware routing model for intra-domain networks

Çelenlioğlu, Mahmud Rasih; Goger, S. Burak; Mantar, Hacı Ali

doi:10.1109/softcom.2014.7039074

Cited by 24 publications

(15 citation statements)

References 28 publications

(20 reference statements)

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“…Adapting the SDN (Software Defined Networking) approach in order to handle energy-aware routing and resource management for large scale Multiple Protocol Label Switching (MPLS) networks is described in (Celenlioglu, Goger, & Mantar, 2014).…”

Section: Genetic Algorithms and Othermentioning

confidence: 99%

Adaptive Strategies of Multi-Objective Optimization For Greener Networks

Yazbek

Liu

2019

2019 SoutheastCon

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Increasing energy costs and environmental issues related to the Internet and wired networks continue to be a major concern. Energy-efficient or power-aware networks continue to gain interest in the research community. Existing energy reduction approaches do not fully address all aspects of the problem. We consider the problem of reducing energy by turning off network links, while achieving acceptable load balance, by adjusting link weights. Changing link weights frequently can cause network oscillation or instability in measuring the resulting traffic load, which is a situation to be avoided. In this research, we optimize two objectives, which are minimizing network power consumption by maximizing utilization of shortest paths, and at the same time achieving load-balance by minimizing network Maximum Link Utilization (MLU). Research to date has focused on the link level of traffic load balance, to minimize power consumption, while putting less focus on utilizing adaptive strategic techniques that optimize multi-objectives problems. This research developed a new approach that relies on live data collected from wired networks, and performs Multi-Objective Optimization (MOO) using a Non-dominated Sorting Genetic Algorithm (NSGA-II) that applies alternative adaptive strategies in order to optimize those two objectives. We also studied how adding delays between link weights adjustments can alleviate the network oscillation or instability without causing higher network power consumption and imbalanced network traffic. This work introduced a novel approach to select underutilized links to go to sleep using adaptive strategies of MOO that are aware of traffic changes. Re-computing the algorithm takes less than a minute, while network traffic is frequently updated every few minutes. The hybrid approach that we designed was able to reduce the power consumption by 35.24%, while reducing MLU by 42.86% for specific traffic pattern used in Abilene network topology. For network instability, we introduced sequential_delay and wait_interval delay parameters that are implemented in conjunction with link weight settings. We show reduction of instability measurement from 175% down to 8.6% for Abilene network topology when using a value of 1sec for both sequential_delay and wait_interval delay parameters.

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Section: Genetic Algorithms and Othermentioning

confidence: 99%

Adaptive Strategies of Multi-Objective Optimization For Greener Networks

Yazbek

Liu

2019

2019 SoutheastCon

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“…The aim of optimization problem is to find the best path of nodes in order to improve the overall QoE. Although, this is an NP-hard problem, which could be time and energy consuming [14], we apply a centralized optimization approach trying to make the best task assignment in order to improve QoE. A centralized optimization problem is defined, where a utility function u net is assigned to a network for a given strategy vector x i .…”

Section: Task Assignment Modelmentioning

confidence: 99%

An SDN-approach for QoE management of multimedia services using resource allocation

Grigoriou

Barakabitze

Atzori

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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Future networks will be accompanied by new heterogeneous requirements in terms of end-users Quality of Experience (QoE) due to the increasing number of application scenarios being deployed. Network softwarization technologies such as Software Defined Networks (SDNs) and Network Function Virtualization (NFV) promise to provide these capabilities. In this paper, a novel QoE-driven resource allocation mechanism is proposed to dynamically assign tasks to virtual network nodes in order to achieve an optimized end-to-end quality. The aim is to find the best combination of network node functions that can provide an optimized level of QoE to the end users though node cooperation. The service in question is divided in tasks and the neighbor nodes negotiate the assignment of these considering the final quality. In the paper we specifically focus on the video streaming service. We also show that the agility provided by SDN/NFV is a key factor for enhancing video quality, resource allocation and QoE management in future networks. Preliminary results based on the Mininet network emulator and the OpenDaylight controller have shown that our approach can significantly improve the quality of a transmitted video by selecting the best path with normalized QoS values.

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“…Controller computes link utilization as the same as in [10]. In the next step, controller finds the Path Cost Value (P CV i (t)) by assigning the cost of the link with the maximum cost that the path uses.…”

Section: Load Balancing Modulementioning

confidence: 99%

Design, implementation and evaluation of SDN-based resource management model

Çelenlioğlu

Alsadi

Mantar

2015

2015 7th International Conference on New Technologies, Mobility and Security (NTMS)

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Usage of the Internet has been changed over the past decade. Current tightly-coupled network architecture limits innovative actions. Besides, companies desire to provide better service while keeping their costs low. Software Defined Networking (SDN) is a new approach that provides abstract, programmable and open networking. It is brought up to address these issues. In this study 1 , we present the design, implementation and evaluation of pre-established multi-path (PMP) based intradomain routing and resource management model for SDN-based networks. PMPs are established between each pair of edge nodes. Controller performs routing, admission control and resource management based on these paths. The experimental works show that the proposed model provides scalable admission control, routing and significantly improves resource utilization.

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An SDN-based energy-aware routing model for intra-domain networks

Cited by 24 publications

References 28 publications

Adaptive Strategies of Multi-Objective Optimization For Greener Networks

Adaptive Strategies of Multi-Objective Optimization For Greener Networks

An SDN-approach for QoE management of multimedia services using resource allocation

Design, implementation and evaluation of SDN-based resource management model

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