Reconfiguration of virtual network mapping considering service disruption

Tran, Phuong Nga; Timm‐Giel, Andreas

doi:10.1109/icc.2013.6655090

Cited by 15 publications

(14 citation statements)

References 11 publications

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“…5,22,26 We adopted values for periodic triggering from the state of the art. 5,22,26 We adopted values for periodic triggering from the state of the art.…”

Section: Validation Results For the Self-adaptive Migration Trigger (mentioning

confidence: 99%

“…In this section and in Section 10, we present the validation of our RL approach in terms of (i) the assessment of the RL process as the RL episodes progressed and (ii) the comparison between self-adaptive migration triggering and periodic migration triggering. 5,22,26 We adopted values for periodic triggering from the state of the art. 5,22,26 Results report the average of the 31 simulation runs.…”

Section: Validation Results For the Self-adaptive Migration Trigger (mentioning

confidence: 99%

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Self‐adaptive online virtual network migration in network virtualization environments

Zangiabady

Garcia‐Robledo

Gorricho

et al. 2019

Trans Emerging Tel Tech

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In Network Virtualization Environments, the capability of operators to allocate resources in the Substrate Network (SN) to support Virtual Networks (VNs) in an optimal manner is known as Virtual Network Embedding (VNE). In the same context, online VN migration is the process meant to reallocate components of a VN, or even an entire VN among elements of the SN in real time and seamlessly to end‐users. Online VNE without VN migration may lead to either over‐ or under‐utilization of the SN resources. However, VN migration is challenging due to its computational cost and the service disruption inherent to VN components reallocation. Online VN migration can reduce migration costs insofar it is triggered proactively, not reactively, at critical times, avoiding the negative effects of both under‐ and over‐triggering. This paper presents a novel online cost‐efficient mechanism that self‐adaptively learns the exact moments when triggering VN migration is likely to be profitable in the long term. We propose a novel self‐adaptive mechanism based on Reinforcement Learning that determines the right trigger online VN migration times, leading to the minimization of migration costs while simultaneously considering the online VNE acceptance ratio.

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“…5,22,26 We adopted values for periodic triggering from the state of the art. 5,22,26 We adopted values for periodic triggering from the state of the art.…”

Section: Validation Results For the Self-adaptive Migration Trigger (mentioning

confidence: 99%

Section: Validation Results For the Self-adaptive Migration Trigger (mentioning

confidence: 99%

Self‐adaptive online virtual network migration in network virtualization environments

Zangiabady

Garcia‐Robledo

Gorricho

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The problem of Virtual Network Embedding has been intensively studied [2]- [5] but adaptation of already embedded VNs to dynamically optimize resource utilization has received little attention. To the best of our knowledge only [2], [3], [6]- [8] addressed this problem. The presented adaptation strategies can be classified into two main families: i) periodic and ii) reactive approaches.…”

Section: Related Workmentioning

confidence: 99%

“…Authors of [6] propose a reactive reconfiguration scheme that first detects the unmapped virtual nodes and links causing the rejection of the VN request, and then moves the congested links and nodes to less critical hosts. Authors of [7], [8] propose a reactive strategy that takes into account the cost incurred by the service disruption during re-allocation.…”

Section: Related Workmentioning

confidence: 99%

An adaptive load balancing scheme for evolving virtual networks

Jmila

Zeghlache

2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

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An algorithm to adapt dynamically virtual networks to additional resource requirements is proposed and evaluated. The optimization is achieved while balancing load and avoiding fragmentation in the infrastructure (often referred as substrate or physical network). The algorithm focuses on virtual nodes requiring more resources by extending their allocations and maintaining their connectivity (even if the node is migrated) to other resources while tidying up (or consolidating) the infrastructure. The algorithm outperforms existing approaches.

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“…Given the dynamics in Internet, as the VON requests may come and leave randomly, the once efficient VNE mapping may not offer an optimal resource utilization due to the fragmentation of spectral resources [12]. Hence, the incoming VON requests may have to be blocked even though there are sufficient sub-carrier resources available in the SFLs.…”

Section: Introductionmentioning

confidence: 99%

Virtual network embedding and reconfiguration in elastic optical networks

Shakya

Pradhan

Cao

et al. 2014

2014 IEEE Global Communications Conference

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Abstract-Recent innovations in Network Virtualization and Elastic Optical Networks (EONs) enable flexible deployment of optical networks as a service. However, one open challenge is how to embed Virtual Optical Network (VON) requests onto the physical substrate network to maximize the sharing of physical resources, which is the so called Virtual Network Embedding (VNE) problem. EONs are prone to the fragmentation of spectral resources during the process of routing and spectrum allocation. The fragmentation of spectral resources in the substrate fiber links may lead to the blocking of incoming virtual network requests. This degrades the utilization of the physical resources of the Infrastructure Providers and also, decreases the revenue of the Service Providers. In this paper, we propose a novel virtual network embedding algorithm called Alignment and Consecutiveness-aware Virtual Network Embedding (ACT-VNE), which takes into account the spectrum alignment and relative loss in spectrum consecutiveness when mapping virtual nodes/links onto the physical substrate nodes/links. We also propose a minmax reconfiguration scheme called Relative Consecutiveness Lossaware and Misalignment-aware Virtual Network Reconfiguration (RCLM-VNR) that minimizes relative consecutiveness loss and maximizes alignment with adjacent links when reconfiguring the virtual network. Simulation results show that ACT-VNE and RCLM-VNR yield a lower blocking probability and a higher link utilization ratio, which leads to better utilization of the physical resources and increased revenue.

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Reconfiguration of virtual network mapping considering service disruption

Cited by 15 publications

References 11 publications

Self‐adaptive online virtual network migration in network virtualization environments

Self‐adaptive online virtual network migration in network virtualization environments

An adaptive load balancing scheme for evolving virtual networks

Virtual network embedding and reconfiguration in elastic optical networks

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