CaTa-VN:数据中心网络中协调的、拓扑感知的虚拟网络业务发放

A. Jahani, L. M. Khanli
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引用次数: 4

摘要

如今,云计算服务被广泛用于服务器托管、数据存储、处理、计算和科学研究目的。因此,数据中心是云计算基础设施中任何类型服务的基础。虚拟化技术在类似的基板/物理基础设施上提供各种虚拟元素的基础设施。网络虚拟化过程包括节点映射和链路映射两个步骤,为每个虚拟网络提供底层网络,称为虚拟网络嵌入(virtual Network Embedding, VNE)。本文提出了一种新的VNE算法,称为CaTa-VN,它是基板网络拓扑感知的,并以协调的方式进行VNE步骤。我们将所提出的CaTa-VN算法与另外两种具有随机拓扑的相关算法进行了评价和比较。实验结果表明,CaTa-VN算法提高了收益和接受率,降低了成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CaTa-VN: Coordinated and topology-aware virtual network service provisioning in data centers network
Nowadays cloud computing services are being extensively used for server hosting, data storage, processing, computing, and scientific and research purposes. So data centers are the substrate of any type of services in cloud computing infrastructure. Virtualization technology provides the infrastructure of various virtual elements on similar substrate/physical infrastructure. Network virtualization process includes two steps of node mapping and link mapping that provides the substrate network for each virtual network and is referred to as Virtual Network Embedding (VNE). This paper proposes a new VNE algorithm called CaTa-VN that is substrate network topology-aware and do VNE steps in a coordinated way. We appraise and compare the proposed CaTa-VN algorithm with two other related works with random topology. Experimental results demonstrate that CaTa-VN algorithm increases revenue and acceptance ratio and decrease cost.
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