CoLUE: SDN交换机中的协作TCAM更新

Ruyi Yao, Cong Luo, Hao Mei, Chuhao Chen, Wenjun Li, Ying Wan, Sen Liu, B. Liu, Yang Xu
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引用次数: 0

摘要

随着网络的快速变化,TCAM中的规则更新已经成为制约应用性能的瓶颈。在传统的软件定义网络中,一些应用策略部署在边缘交换机上,而TCAM空间的稀缺加剧了规则更新的频率和难度。本文提出了CoLUE框架,该框架以平衡和依赖最小的方式将规则分组到交换机中。CoLUE是第一个将TCAM更新和规则放置相结合的作品,充分利用了TCAM在分布式交换机中的应用。它不仅加快了更新速度,还保持了跨交换机的TCAM空间负载平衡。CoLUE由规则集分解和子集分布组成,具有np完备性挑战。我们提出了启发式算法来计算一个接近最优的规则放置方案。我们的评估表明,CoLUE有效地平衡了TCAM空间负载,将平均更新成本降低了1.45倍以上,将最坏情况更新成本降低了5.46倍。
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CoLUE: Collaborative TCAM Update in SDN Switches
With the rapidly changing network, rule update in TCAM has become the bottleneck for application performance. In traditional software-defined networks, some application policies are deployed at the edge switches, while the scarce TCAM spaces exacerbate the frequency and difficulty of rule updates. This paper proposes CoLUE, a framework which groups rules into switches in a balance and dependency minimum way. CoLUE is the first work that combines TCAM update and rule placement, making full use of TCAM in distributed switches. Not only does it accelerate update speed, it also keeps the TCAM space load-balance across switches. Composed of ruleset decomposition and subset distribution, CoLUE has an NP-completeness challenge. We propose heuristic algorithms to calculate a near-optimal rule placement scheme. Our evaluations show that CoLUE effectively balances TCAM space load and reduces the average update cost by more than 1.45 times and the worst-case update cost by up to 5.46 times, respectively.
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