Proceedings Article10.1109/LCN.2016.028
A Cloud-Oriented Algorithm for Virtual Network Embedding over Multi-Domain
Shuopeng Li,Mohand Yazid Saidi,Ken Chen +2 more
- 01 Nov 2016
pp 50-57
7
TL;DR: A multi-domain link mapping framework which combines the intra and peering link mapping so as to optimize the overall resource utilization and is easy to be deployed since it is based on current Internet architecture.
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Abstract: The rapid deployment of cloud computing service needs a robust and efficient virtualization layer between the application and the physical hardware. Network Virtualization, which allows the co-existence of various logical networks on shared physical infrastructure, is an important technique to face this challenge. The optimal mapping of virtual resource to physical resource is a major issue in network virtualization. This problem, called virtual network embedding (VNE), has been well explored in the context of one physical domain, which is in practice operated by a single infrastructure provider (InP). However, with the rapid growing of cloud computing services, quite a number of VNs have to be established across multi-domain. For multi-domain VNE, infrastructure providers can no longer just solve their own single domain VNE problem, but have to cooperate to build the whole VN. Therefore, new challenge arises for the multi-domain VNE, compared to traditional single domain VNE. The existing investigations on this problem mainly focus on decomposing a VN to sub VN for each domain, but few attention has been paid to the joint relation between intra-domain and inter-domain (peering) links. In this paper, we propose a multi-domain link mapping framework which combines the intra and peering link mapping so as to optimize the overall resource utilization. Our approach is easy to be deployed since it is based on current Internet architecture. Evaluation shows that our approach, brings improvements related to existing methods.
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Citations
Virtual Network Embedding Based on Topology Potential.
TL;DR: A multi-objective optimization integer linear programming model is established and a novel two-stage virtual network embedding algorithm based on topology potential (VNE-TP) is proposed, which outperforms other existing algorithms in terms of acceptance ratio and revenue to cost ratio.
5
•Dissertation
Contribution to an efficient and resilient embedding of virtual networks under various constraints
Shuopeng Li
- 09 Nov 2017
TL;DR: In this article, a joint peering and intra-domain link mapping method is proposed to improve the reliability of virtual networks by minimizing the failure probability in multi-domain virtual networks.
1
A QoS-Based Splitting Strategy for a Resource Embedding Across Multiple Cloud Providers
TL;DR: This paper addresses the problem of VNE across multiple CPs by proposing a VNRs splitting strategy which aims at improving the performance and QoS of resulting VNR segments, and an Integer Linear Program (ILP) is used to formalize the splitting phase as a maximization problem with constraints.
1
Research on Service-oriented Virtual Network Mapping Algorithm
Yonan Guo,Yichu Bai,Hao She +2 more
- 01 Dec 2018
TL;DR: Studying service-oriented virtual network mapping algorithm, it is concluded that the algorithm proposed shows good anti-congestion performance in transmitting important data.
Two Efficient QoS-Based Approaches for a Resource Splitting Strategy across Multiple Cloud Providers
Marieme Diallo,Alejandro Quintero,Samuel Pierre +2 more
- 01 Dec 2018
TL;DR: This paper focuses on the splitting phase problem, by proposing a splitting strategy based on two optimization approaches, with the objective of improving the performance and the quality of service (QoS) of resulting mapped VNR segments.
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N. M. M. K. Chowdhury,Muntasir Raihan Rahman,Raouf Boutaba +2 more
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TL;DR: This paper formulate the VN em- bedding problem as a mixed integer program through substrate network augmentation, and devise two VN embedding algo- rithms D-ViNE and R- ViNE using deterministic and randomized rounding techniques, respectively.
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Zhu Yong,Mostafa H. Ammar +1 more
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