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Software Defined Networking Failure Recovery with Flow Table Aware and flows classification

机译:软件定义了网络故障恢复,流表感知和流分类

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Software Defined Networking (SDN) emerged to simplify network management and speed up innovation through a clear separation of the control plane from the data plane using OpenFlow standard. Link or switch failure occurs more often. The detect switch has to send a port status message to the controller to update the Flow Table with a new path or switch to a preconfigured backup path to recover from the failure. Most of the existing schemes are focusing on distance or delay in backup path selection. However, traffic flows exhibit variabilities and losses caused by flows also differ with respect to Flow Table utilization. Ternary Content Addressable Memory (TCAM) that stores flow entries in the Flow Table is costly with limited space. It is significant to reduce backup path entries resource consumption through different failure recovery strategies while considering the Flow Table utilization ratio at sampling time, flow classification, and shortest path. This paper devised an algorithm for backup path computation based on the shortest path, flow classification, and Flow Table utilization ratio. The simulation result shows higher throughput of (71.2), lower packet losses (3 %), and round-trip time (3.4 s).
机译:软件定义的网络(SDN)出现了通过使用OpenFlow标准清除数据平面的控制平面清除控制平面来简化网络管理和加速创新。链接或切换故障更频繁地发生。检测开关必须向控制器发送端口状态消息,以将流表与新路径更新,或切换到预先配置的备份路径以从故障中恢复。大多数现有方案都集中在备份路径选择中的距离或延迟。然而,交通流量表现出可变性和由流量造成的损耗也与流表利用率不同。存储流表中的流条目的三元内容可寻址内存(TCAM)与有限的空间昂贵。通过不同的故障恢复策略减少备份路径条目资源消耗很大,同时考虑采样时间,流量分类和最短路径的流量表利用率。本文基于最短路径,流分类和流量表利用率设计了一种备份路径计算算法。仿真结果表明(71.2)的吞吐量较高,较低的数据包损耗(3%)和往返时间(3.4s)。

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