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  • Open Access

    ARTICLE

    Saving the Bandwidth of IPv6 Networks Using the Fields of the Packet Header

    Mosleh M. Abualhaj*, Abdelrahman H. Hussein, Qasem M. Kharma, Qusai Y. Shambour, Sumaya N. Al-Khatib

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1971-1980, 2022, DOI:10.32604/iasc.2022.021458

    Abstract IPv6 protocol is the future of IP networks due to its large IP address capacity. One of the key consequences of this large capacity is that the IP protocol header has enlarged from 20-byte in IPv4 to 40-byte in IPv6. This will consume a considerable share of the bandwidth (BW) for VoIP applications, which produce small packets in tens of bytes only. To handle this issue, we have introduced an efficient technique to use the superfluous fields in the VoIP packet header, including the IPv6 header, to hold the voice data of the packet. This introduced technique is called the… More >

  • Open Access

    ARTICLE

    A Perspective of the Machine Learning Approach for the Packet Classification in the Software Defined Network

    B. Indira1,*, K. Valarmathi2

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 795-805, 2020, DOI:10.32604/iasc.2020.010114

    Abstract Packet classification is a major bottleneck in Software Defined Network (SDN). Each packet has to be classified based on the action specified in each rule in the given flow table. To perform classification, the system requires much of the CPU clock time. Therefore, developing an efficient packet classification algorithm is critical for high speed inter networking. Existing works make use of exact matching, range matching and longest prefix matching for classification and these techniques sometime enlarges rule databases, thus resulting in huge memory consumption and inefficient searching performance. In order to select an efficient packet classification algorithm with less memory… More >

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