ACLFLOW:用于配置和管理访问控制列表的NFV/SDN安全框架

L. Mauricio, M. Rubinstein, O. Duarte
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引用次数: 3

摘要

路由器访问控制列表(acl)是一种传统的有选择地过滤云计算流量的方法。然而,由于路由器三元内容可寻址存储器(TCAMs)的存储容量有限且价格昂贵,因此可能需要大量的规则。本文提出了一种网络功能虚拟化(NFV)/软件定义网络(SDN)安全框架ACLFLOW。ACLFLOW (i)将常规acl(源/目的IP、源/目的端口、协议)转换为OpenFlow过滤规则;(ii)在分布式软件交换机上创建和管理大型OpenFlow acl,作为安全虚拟网络功能(命名为OpenFlow vnf - acl),以解决TCAM存储容量问题;(iii)实现了一种算法,以动态优先化最流行的规则,以加速切换操作;(iv)协调和加速NFV/SDN环境在生产云中的部署。我们已经在NFV开放平台(OPNFV)中实现了一个框架原型,并使用不同的工具和场景评估了它的性能。结果表明,与运行在虚拟机中的无状态Iptables相比,OpenFlow VNF-ACL的最大吞吐量提高了90%,HTTP请求速率提高了50%,往返时间(RTT)减少了70%。此外,与无优先级的ACLFLOW相比,该算法动态地将流量最大的流的HTTP请求率提高了15%,RTT降低了25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ACLFLOW: An NFV/SDN Security Framework for Provisioning and Managing Access Control Lists
Router Access Control Lists (ACLs) are a traditional way to filter traffic on cloud computing selectively. However, a large number of rules may be required, whereas the storage capacity of router Ternary Content Addressable Memories (TCAMs) is scarce and expensive. This paper proposes a Network Functions Virtualization (NFV)/Software-Defined Networking (SDN) security framework, named ACLFLOW. ACLFLOW (i) translates regular ACLs (source/destination IP, source/destination port, and protocol) into OpenFlow filtering rules; (ii) creates and manages large OpenFlow ACLs on distributed software switches, which act as security virtual network functions (named OpenFlow VNF-ACLs), to address the TCAM storage capacity problem; (iii) implements a proposed algorithm to dynamically prioritize the most popular rule to accelerate switching operations; and (iv) orchestrates and accelerates the deployment of NFV/SDN environments into production clouds. We have implemented a framework prototype into the Open Platform for NFV (OPNFV) and evaluated its performance using different tools and scenarios. Results show that OpenFlow VNF-ACL improves maximum throughput by up to 90%, its HTTP request rates are up to 50% better, and it reduces Round Trip Time (RTT) by 70% when its performance is compared with a stateless Iptables running in virtual machines. Moreover, the proposed algorithm dynamically improves HTTP request rate of flows with the highest traffic volume by 15% and reduces RTT by 25% when compared with ACLFLOW without prioritization.
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