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Design and Implementation of V6GEN and V6PCF: A Compact IPv6 Packet Generator and a New Packet Classification Framework for IPv6

机译:V6Gen和V6PCF的设计与实现:Compact IPv6数据包生成器和IPv6的新数据包分类框架

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In this research work, we proposed a new, efficient and compact software based IPv6 packet generator, V6GEN and a new packet classification framework for IPv6 traffics, V6PCF. V6GEN is compact as packet construction support for IPv6 packets in neighbor discovery, automatic tunneling and network mobility are proposed while V6PCF is to provide a platform in designing, implementing and evaluating software based classification algorithm. From the performance analysis, V6GEN is justifiable where 100% of the intended packets are generated and injected to the network in a real time environment with bandwidth allocated while a 95% of packets injected under an unallocated bandwidth. V6GEN is also one of the components in V6PCF. Feasibility study has been conducted on V6PCF to illustrate the effectiveness of V6PCF in addressing packet classification problem. The evaluation and implementation of linear search packet classification in IPv6 is chosen as a case study to justify the functionality of V6PCF. These findings are reported in this paper. Overall, V6GEN acts as an alternative tool in commissioning and testing IPv6 network deployment while V6PCF tense to provide an alternative approach to researchers in designing and evaluating packet classification algorithm specifically designed for IPv6. These are important in current network field as IPv6 is gaining its popularity with the depletion of IPv4 address.
机译:在这项研究工作中,我们提出了一种新的基于,高效和紧凑的软件的IPv6数据包发电机,V6Gen和新的数据包分类框架,用于IPv6 Twomics,V6PCF。 V6Gen是Compact作为邻居发现的IPv6数据包的数据包建设支持,提出了自动隧道和网络移动性,而V6PCF是在设计,实施和评估基于软件的分类算法方面的平台。根据性能分析,V6Gen是合理的,其中在具有带宽分配的带宽的实时环境中生成并注入网络的100%,而在未分配的带宽下注入的95%的数据包。 V6Gen也是V6PCF中的组件之一。在V6PCF上进行了可行性研究,以说明V6PCF在解决数据包分类问题方面的有效性。选择IPv6中的线性搜索分类的评估和实现作为案例研究,以证明V6PCF的功能。本文报道了这些发现。总体而言,V6GEN作为调试和测试IPv6网络部署的替代工具,而V6PCF时态为设计和评估专门为IPv6设计的分组分类算法提供替代方法。由于IPv6正在使用IPv4地址的消耗,因此在当前网络字段中非常重要。

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