包合:低网络开销的服务链部署,以获得更好的数据中心性能

Hsueh-Hong Kang, I-Chih Wang, Li-Ping Tung, Charles H.-P. Wen
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引用次数: 1

摘要

网络功能虚拟化(Network Function Virtualization, NFV)是一种新兴的数据中心业务部署技术,如何在满足SLA要求的情况下,在虚拟机上高效部署虚拟网络功能(virtual Network functions, VNFs)是一个重要的课题。以往的研究往往忽略了数据中心网络上业务功能链中不必要的网络占用和虚拟机间通信导致数据中心性能下降的网络因素,这促使我们开发了Parcel-Fit。Parcel-Fit的概念考虑了服务器容量(即CPU和内存)和网络状态(即网络占用和服务器距离),以避免数据中心网络中不必要的虚拟机间通信,从而最小化业务功能链的总延迟。此外,Parcel-Fit还被整合到最小化先验延迟的方案中,用于部署服务功能链(即多层Bin结构和SOVWin),以满足更多的SLA需求。根据我们的实验结果,基于SOVWin/Multilayer Bin Structure的Parcel-Fit比两种传统的VM放置策略(Best-Fit和First-Fit)平均延迟减少28.50%,网络占用减少24.54%,接受率增加25.16%,违规次数减少72.04%,在数据中心部署业务功能链方面取得了更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parcel-Fit: Low Network-Overhead Service-Chain Deployment for Better Datacenter Performance
Network Function Virtualization (NFV) is emerging for service deployment in datacenters and how to efficiently deploying virtual network functions (VNFs) on VMs under SLA requirements is an key topic. Previous studies often overlook the network factor that deteriorates the datacenter performance due to unnecessary network occupation and inter-VM communication in a service function chain over the datacenter network, thus motivating us to develop Parcel-Fit. The concept of Parcel-Fit considers server capacities (i.e., CPU and memory) and network status (i.e. network occupation and server distance) to avoids unnecessary inter-VM communication in the datacenter network and thus minimize total latencies of the service function chain. In addition, Parcel-Fit is also incorporated into prior latency-minimized schemes for deploying service function chains (i.e. Multi-layer Bin Structure and SOVWin) and fulfill more SLA requirements. According to our experimental results, Parcel-Fit outperforms two conventional VM placement strategies (Best-Fit and First-Fit) on the basis of SOVWin/Multilayer Bin Structure by 28.50% less average latency, 24.54% less network occupation, 25.16% more acceptance rate and 72.04% less violation count, achieving better performance for deploying service function chains in datacenters.
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