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An parallelized deep packet inspection design in software defined network

机译:软件定义网络中的并行深度包检测设计

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Deep packet inspection (DPI) is a key technology in software defined network (SDN) which can centralize network policy control and accelerate packet transmission. In this paper, we propose a new SDN architecture with DPI module. Base on the centralization idea of SDN, we deploying a parallel DPI to the control layer. We present DPI interface in the SDN controller and discuss OpenFlow protocol extension. Paralleling the DPI algorithm effectively reduces the time of detecting packets and sending flow tables. We also describe an Adaptive Highest Random Weight with an additional feedback corresponding to queue length and string length matching at each processor. The original Highest Random Weight (HRW) hash ensures the connection locality. Treating all tasks as the same weight just balances the workload over the number of different task. By adding the adjustment multiplier and combined with the characteristics of the fixed hash function, the system can allocate resource dynamically and achieve connection-level parallelism in consideration of the processing time for per packet.
机译:深度数据包检查(DPI)是软件定义网络(SDN)中的一项关键技术,它可以集中网络策略控制并加速数据包传输。在本文中,我们提出了一种具有DPI模块的新SDN架构。基于SDN的集中化思想,我们将并行DPI部署到控制层。我们在SDN控制器中提供DPI接口,并讨论OpenFlow协议扩展。并行DPI算法可有效减少检测数据包和发送流表的时间。我们还将描述一个自适应最高随机权重,它具有与每个处理器处的队列长度和字符串长度匹配相对应的附加反馈。原始的最高随机权重(HRW)哈希值可确保连接位置。将所有任务视为相同权重只会在不同任务数量之间平衡工作量。通过添加调整乘数并结合固定哈希函数的特性,系统可以动态分配资源,并考虑到每个数据包的处理时间来实现连接级并行性。

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