Network migration optimization using meta-heuristics

Türk, Stefan

doi:10.1016/j.aeue.2014.04.005

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Backbone network migration with better resource utilization using heuristic solutions including different genetic algorithms (GA) are presented by Türk et al 78 The authors simulate the scenario for a period of 5 years over ISP backbone networks and claim that a crowded DPGA gives better result for optimum cost and resource utilization. Additionally, Türk et al 79,80 presented studies based on network migration optimization using meta‐heuristics and optimization of network migration cost using memetic algorithm 81 . This study provides solutions to network service providers about when to migrate a network router in terms of CapEX, OpEX, and ImpEX optimization.…”

Section: Literature Reviewmentioning

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: Literature Reviewmentioning

confidence: 99%

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

et al. 2020

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“…Wavelength division multiplexing (WDM) and dense WDM in optical networks allows exceptionally high transmission speeds with very high QoS for real time and non-real time applications. All Optical Networks (AONs) combine data from distribution and access networks and send it across the optical domain from beginning to end [1]. The development of a lightpath allows for the avoidance of electronic processing at intermediate nodes between any two nodes along the route or from end to end.…”

Section: Introductionmentioning

confidence: 99%

Wavelength Assignment Techniques with Converters for All Optical Networks (AONs)

Franklin

Sen

2022

AJEAT

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We present an optical routing and wavelength assignment (RWA) technique for the best placement of the wavelength converters. The wavelength converter placement was considered independently at the complete nodes and partial nodes. In comparison to existing approaches, our technique performs better and requires fewer wavelength converters to get the required performance. As much as 7%, the likelihood of blocking is decreased. The study also demonstrates that the top four nodes have the biggest influence over the blocking performance of the network. It is clear that placing the converters in the right location is just as crucial to improving performance as simply adding more converters.

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