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Availability- and Traffic-Aware Placement of Parallelized SFC in Data Center Networks

机译:数据中心网络中并行化SFC的可用性和流量感知放置

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Network Function Virtualization (NFV) brings flexible provisioning and great convenience for enterprises outsource their network functions to the Data Center Networks (DCNs). Network service in NFV is deployed as a Service Function Chain (SFC), which includes an ordered set of Virtual Network Functions (VNFs). However, in one SFC, the SFC delay increases linearly as the length of SFC increases. SFC parallelism can achieve high performance of SFC. In this article, we focus on the parallelized SFC placement problem in DCN considering availability guarantee and resource optimization. Firstly, we define the parallelized SFC and propose a multi-flow backup model. The parallelized SFC consists of multiple parallelized sub-SFCs. We split large data flow into multiple small sub-flows, each of them can be transmitted in one sub-SFC. The backup model provides backup sub-SFCs for working sub-SFCs to improve availability. Finally, we design three placement strategies and a Hybrid Placement Algorithm (HPA) aimed at mapping SFCs to DCN. Evaluation results show that our proposed solutions outperform the related work. We can reduce SFC delay (30%) and optimize link consumption (reduce 40%) while guaranteeing availability (99.999%).
机译:网络功能虚拟化(NFV)为企业提供了灵活的供应和极大的便利,将其网络功能外包给数据中心网络(DCN)。 NFV中的网络服务部署为服务功能链(SFC),包括一个有序的虚拟网络功能(VNFS)。然而,在一个SFC中,随着SFC的长度的增加,SFC延迟线性增加。 SFC并行性可以实现SFC的高性能。在本文中,考虑到可用性保证和资源优化,我们专注于DCN中的并行SFC放置问题。首先,我们定义了并行化的SFC并提出了多流备份模型。并行化SFC由多个并行化子SFC组成。我们将大数据流分成多个小子流量,每个数据流可以在一个SUB-SFC中传输。备份模型为工作子SFC提供备份子SFC,以提高可用性。最后,我们设计了三个放置策略和混合放置算法(HPA),旨在将SFC映射到DCN。评估结果表明,我们提出的解决方案优于相关工作。我们可以减少SFC延迟(30%)并优化链接消耗(减少40%),同时保证可用性(99.999%)。

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