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Performance Limitations of Parsing Libraries: State-of-the-Art and Future Perspectives

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2018, ruSMART 2018)

Abstract

The acceleration of mobile data traffic and the shortage of available spectral resources create new challenges for the next-generation (5G) networks. One of the potential solutions is network offloading that opens a possibility for unlicensed spectrum utilization. Heterogeneous networking between cellular and WLAN systems allows mobile users to adaptively utilize the licensed (LTE) and unlicensed (IEEE 802.11) radio technologies simultaneously. At the same time, softwarized frameworks can be employed not only inside the network controllers but also at the end nodes. To operate with the corresponding policies and interpret them efficiently, a signaling processor has to be developed and equipped with a fast packet parsing mechanism. In this scenario, the reaction time becomes a crucial factor, and this paper provides an overview of the existing parsing libraries (Scapy and dpkt) as well as proposes a flexible parsing tool that is capable of reducing the latency incurred by analyzing packets in a softwarized network.

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Change history

  • 16 December 2018

    The acknowledgement section of this paper originally stated that “the work was supported by RUDN University Program 5-100.” The reference to this was modified to “the publication has been prepared with the support of the RUDN University Program 5-100” in the acknowledgement section at the request of the volume editor.

Notes

  1. 1.

    “dpkt 1.9.1”, 2018: https://pypi.python.org/pypi/dpkt.

  2. 2.

    “Scapy library”, 2018: http://www.secdev.org/projects/scapy/.

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Acknowledgements

The publication has been prepared with the support of the “RUDN University Program 5-100.”

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Correspondence to Aleksandr Ometov .

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D’Agostino, A.M., Ometov, A., Pyattaev, A., Andreev, S., Araniti, G. (2018). Performance Limitations of Parsing Libraries: State-of-the-Art and Future Perspectives. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham. https://doi.org/10.1007/978-3-030-01168-0_37

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  • DOI: https://doi.org/10.1007/978-3-030-01168-0_37

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