针对高速环境下转发决策困难的问题，本文提出一种由多个网络处理器组成的并行转发引擎结构。
In order to make forwarding decision at line rate in high speed networks, this dissertation presents a parallel forwarding engine comprised of several network processors.
本文以网络处理器为硬件核心，结合提出的并行包分类算法，设计和实现了一个包分类引擎系统。
This paper designs and implements an engine system of packet classification applying the parallel classifying algorithm, in which network processor is the hardware core.
对网络处理器中多微引擎并行处理的两种编程模型进行分析，讨论了如何将数据包处理任务在多个微引擎之间进行分配，从而取得较高处理性能的一般性策略问题。
This paper shows two programming models of Multi-Microengine parallel processing in Network Processor and presents a better way of assigning packet-processing tasks among microengines.
本文首先从结构上说明了网络处理器的构成，每个模块的功能和作用，以及模块之间的通信方式，并对其中的关键部件“微引擎”进行了详细的说明。
In this paper, the structure of the network processor and the communication of the models were introduced, especially, for the detail of the key model, Microengine.
本文首先从结构上说明了网络处理器的构成，每个模块的功能和作用，以及模块之间的通信方式，并对其中的关键部件“微引擎”进行了详细的说明。
In this paper, the structure of the network processor and the communication of the models were introduced, especially, for the detail of the key model, Microengine.
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