CAB: a reactive wildcard rule caching system for software-defined networks

Bo Yan, Yang Xu, Hongya Xing, Kang Xi, H. J. Chao
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引用次数: 62

Abstract

Software-Defined Networking (SDN) enables flexible flow control by caching policy rules at OpenFlow switches. Compared with exact-match rule caching, wildcard rule caching can better preserve the flow table space at switches. However, one of the challenges for wildcard rule caching is the dependency between rules, which is generated by caching wildcard rules overlapped in field space with different priorities. Failure to handle the rule dependency may lead to wrong matching decisions for newly arrived flows, or may introduce high storage overhead in flow table memory. In this paper, we propose a wildcard rule caching system for SDN named CAching in Buckets (CAB). The main idea of CAB is to partition the field space into logical structures called buckets, and cache buckets along with all the associated rules. Through CAB, we resolve the rule dependency problem with small storage overhead. Compared to previous schemes, CAB reduces the flow setup requests by an order of magnitude, saves control bandwidth by a half, and significantly reduce average flow setup time.
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CAB:用于软件定义网络的响应式通配符规则缓存系统
软件定义网络(SDN)通过在OpenFlow交换机上缓存策略规则来实现灵活的流量控制。与精确匹配规则缓存相比,通配符规则缓存可以更好地保留交换机上的流表空间。然而,通配符规则缓存的挑战之一是规则之间的依赖关系,这是由缓存在字段空间中重叠的具有不同优先级的通配符规则产生的。处理规则依赖关系失败可能导致对新到达的流做出错误的匹配决策,或者可能在流表内存中引入较高的存储开销。本文提出了一种用于SDN的通配符规则缓存系统——桶中缓存(CAB)。CAB的主要思想是将字段空间划分为称为桶的逻辑结构,并将桶与所有相关规则一起缓存。通过CAB,我们以较小的存储开销解决了规则依赖问题。与以前的方案相比,CAB将流量设置请求减少了一个数量级,将控制带宽节省了一半,并显著缩短了平均流量设置时间。
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