Integrated Broadband PMR and Commercial Network for Multimedia Information Sharing

Chen, Jinsong; Xu, Zufeng; Zhao, Hanqin; Wang, Jian

doi:10.1007/978-981-10-6571-2_84

Cited by 1 publication

(1 citation statement)

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“…The increasing requirements placed on the cloud are fueling the evolution to architectures which make a better and more efficient use of the available virtual resources, and promote service innovations [1]. Therefore, many cloud data centers have been built up to meet the resource demands of a growing number of network-based large scale applications including both research applications and commercial multimedia applications, for instance, scientific workflows [2] and Content Delivery Networks [3].…”

Section: Introductionmentioning

confidence: 99%

Topology-Oriented Virtual Network Embedding Approach for Data Centers

2019

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Currently, data centers have become an attractive candidate for users that require IT resources in the form of virtual networks to run their applications. Optimal mapping of the virtual network on the top of the substrate network with resource constraint is called virtual network embedding (VNE) problem. Most of the VNE algorithms are general algorithms for random topology and not suitable for data centers due to particular topological characteristics. To solve the VNE problem in data centers, this paper develops a topology-oriented algorithm based on the Discrete Particle Swarm Optimization (DPSO). We first develop a maximum spanning algorithm to compute the ranking of virtual nodes based on, not only its bandwidth and degree, but also its connectivity in the entire virtual network. Then, the virtual networks are embedded onto the substrate network according to the connectivity ranking result by a DPSO-based algorithm, in which we also propose a topological heuristic information of substrate network and combine it into the particle search process for boosting convergence speed and revenue/cost ratio of substrate network. The evaluation results show that the proposed algorithm can improve the optimization performance of VNE by comparing with a few existing algorithms. INDEX TERMS Data center, virtual resource allocation, virtual network embedding, discrete particle swarm optimization.

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Section: Introductionmentioning

confidence: 99%