DSCD: Delay Sensitive Cross-Domain Virtual Network Embedding Algorithm

Zhang, Peiying; Pang, Xue; Bi, Yong; Yao, Haipeng; Pan, Huijiang; Kumar, Neeraj

doi:10.1109/tnse.2020.3005570

Cited by 35 publications

(13 citation statements)

References 37 publications

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“…In a FinTech environment, the desired network characteristics are low latency, high bandwidth, high bit rate, and negligible congestion [8], [9], [10]. The major network attributes desired to support FinTech clusters are listed below [11], [12], [13], [14], [15].…”

Section: A Network Attributes For Fintechmentioning

confidence: 99%

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

Ren

Aujla

Jindal

et al. 2023

IEEE Internet Things J.

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Section: A Network Attributes For Fintechmentioning

confidence: 99%

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

Ren

Aujla

Jindal

et al. 2023

IEEE Internet Things J.

Self Cite

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“…The multi-objective resource optimization algorithm based on cross domain VNE adopts a centralized multi-layer VNE architecture. Specifically, different wireless network domains are managed by different local controllers, which manage the specific network topology information in the domain [23]. All local controllers are managed by a global controller.…”

Section: Algorithm Description and Implementationmentioning

confidence: 99%

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Wang

Dong²,

Duan

et al. 2022

Preprint

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The rapid development of virtual network architecture makes it possible for wireless network to be widely used.With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems. From the perspective of virtual network embedding (VNE), this paper designs and implements a multi-objective optimization VNE algorithm for wireless network resource allocation. Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs). According to the proposed objective formula, we consider the optimization mapping cost, network delay and VNR acceptance rate. VNE is completed by node mapping and link mapping. In the experiment and simulation stage, it is compared with other VNE algorithms, the cross domain VNE algorithm proposed in this paper is optimal in the above three indicators. This shows the effectiveness of the algorithm in wireless network resource allocation.

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“…And finally, it solves the feasible node mapping scheme by using the method of random rounding. The shortest path algorithm is also widely used in solving practical problems [24]. The authors in [25] propose a multidomain VNE algorithm that minimizes the target overhead.…”

Section: B the Centralized Embedding Algorithmmentioning

confidence: 99%

VNE-HPSO: Virtual Network Embedding Algorithm Based on Hybrid Particle Swarm Optimization

et al. 2020

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Today, the 5G Internet era has arrived, and network virtualization technology has captured the attention of people. However, traditional single-domain virtual embedding technology generated huge overhead in embedding and caused a certain waste of resources. Therefore, for cutting virtual embedding overhead and improving the embedding efficiency, this paper proposes a new multi-domain embedding programme. For this scheme, firstly, to rationalize the use of physical resources to a higher degree, we set up a model for the embedding problem. Secondly, in order to obtain the optimal global solution, we introduce simulated annealing into the PSO algorithm, and distribute the particles through the particle initialization distribution strategy. In addition, for the parameter of inertia weight in the algorithm, we use the linear differential decline strategy to calculate. The experimental results show that compared with VNE-PSO algorithm, this scheme reduces the cost of virtual network mapping by 32.82%, increases the acceptance rate of virtual requests by 7%, and reduces the running time by 18.7%. This scheme maximizes the benefits.

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DSCD: Delay Sensitive Cross-Domain Virtual Network Embedding Algorithm

Cited by 35 publications

References 37 publications

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

VNE-HPSO: Virtual Network Embedding Algorithm Based on Hybrid Particle Swarm Optimization

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