Optimizing Gradual SDN Upgrades in ISP Networks

Poularakis, Konstantinos; Iosifidis, George; Smaragdakis, Georgios

doi:10.1109/tnet.2018.2890248

Cited by 23 publications

(4 citation statements)

References 29 publications

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“…There are some studies planning migration based on time constraints and budget, 100 link utilization minimization and upgrade budget as resource constraints, 58 hybrid SDN migration consideration and energy optimization using genetic algorithm, 101 and incremental deployment based on least cost path and budget constraints 75 . In the above studies, basically budget constraints and traffic engineering considerations like link utilization and least cost path were considered to replace legacy router to migrate to SDN.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

et al. 2020

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Summary This paper studies a problem for seamless migration of legacy networks of Internet service providers to a software‐defined networking (SDN)‐based architecture along with the transition to the full adoption of the Internet protocol version 6 (IPv6) connectivity. Migration of currently running legacy IPv4 networks into such new approaches requires either upgrades or replacement of existing networking devices and technologies that are actively operating. The joint migration to SDN and IPv6 network is considered to be vital in terms of migration cost optimization, skilled human resource management, and other critical factors. In this work, we first present the approaches of SDN and IPv6 migration in service providers' networks. Then, we present the common concerns of IPv6 and SDN migration with joint transition strategies so that the cost associated with joint migration is minimized to lower than that of the individual migration. For the incremental adoption of software‐defined IPv6 (SoDIP6) network with optimum migration cost, a greedy algorithm is proposed based on optimal path and the customer priority. Simulation and empirical analysis show that a unified transition planning to SoDIP6 network results in lower migration cost.

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Section: Discussion and Future Workmentioning

confidence: 99%

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

et al. 2020

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“…118 The controllers will only handle the SDN-capable nodes during incremental SDN deployments, and each ISP must be extremely selective about which nodes to upgrade and when to do so. Poularakis et al 119 studied the issue of when and which nodes in an ISP network should undergo SDN upgrades. Researchers concentrated on two common objectives for ISPs: (i) increasing the amount of programmable traffic that travels through at least one SDN-enabled node; and (ii) increasing the flexibility of traffic engineering, or the number of additional paths made available to flows by SDN upgrades.…”

Section: Sdn In Isp/telco Networkmentioning

confidence: 99%

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

Sapkota,

Dawadi,

Joshi

2023

Engineering Reports

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With the successful implementation of Software‐Defined Networking (SDN) in data center networking, the way forward for its deployment in the ISP/Telco network is becoming prominent. Small and medium‐sized networks may easily adopt SDN. The research on SDN deployment and implementation for a large‐scale network is continuing. This paper properly presents the current research status of Controller Placement Problem (CPP) and Multi‐CPP (MCPP) over SDN with their specific challenges and provides a comprehensive review of the major performance metrics, that is, latency, and controller load balancing techniques. This survey highlights the use of network partitioning‐based CPP and clustering approaches and their benefits in the context of SDN deployment. Moreover, this paper highlights the importance of implementing SDN and SDN security issues into ISP/Telco networks. Finally, we provide some key areas of ongoing research and discuss the future research direction regarding the various SDN‐based Controller Placement (CP) issues in the next‐generation IP and advanced networking technologies.

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“…The OSPF heuristic link weights are meant to induce optimal flows that eliminate or minimize the likelihood of congestion. OSPF is widely used in real-world systems [32] and as a baseline in the literature [3,7,16,17,22,71,76].…”

Section: Rq1 -Effectivenessmentioning

confidence: 99%

Learning Self-adaptations for IoT Networks: A Genetic Programming Approach

Li¹,

Nejati²,

Sabetzadeh³

2022

Preprint

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Internet of Things (IoT) is a pivotal technology in application domains that require connectivity and interoperability between large numbers of devices. IoT systems predominantly use a softwaredefined network (SDN) architecture as their core communication backbone. This architecture offers several advantages, including the flexibility to make IoT networks self-adaptive through software programmability. In general, self-adaptation solutions need to periodically monitor, reason about, and adapt a running system. The adaptation step involves generating an adaptation strategy and applying it to the running system whenever an anomaly arises. In this paper, we argue that, rather than generating individual adaptation strategies, the goal should be to adapt the logic / code of the running system in such a way that the system itself would learn how to steer clear of future anomalies, without triggering self-adaptation too frequently. We instantiate and empirically assess this idea in the context of IoT networks. Specifically, using genetic programming (GP), we propose a self-adaptation solution that continuously learns and updates the control constructs in the data-forwarding logic of SDNbased IoT networks. Our evaluation, performed using open-source synthetic and industrial data, indicates that, compared to a baseline adaptation technique that attempts to generate individual adaptations, our GP-based approach is more effective in resolving network congestion, and further, reduces the frequency of adaptation interventions over time. In addition, we compare our approach against a standard data-forwarding algorithm from the network literature, demonstrating that our approach significantly reduces packet loss.

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Optimizing Gradual SDN Upgrades in ISP Networks

Cited by 23 publications

References 29 publications

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

Learning Self-adaptations for IoT Networks: A Genetic Programming Approach

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