Abstract
A web server environment is the most commonly used core architecture. Web services may have limitations in their uses for various purposes by unspecified users. Moreover, formulated web services have made it difficult to change the environment according to usage patterns. Web-based networking analytics technology is considered to be a solution to this problem, and developing the technology requires research on inference of the network state in sublayers presentation, session, transport, network, data link, and physical layer in the seven layers of the open systems interconnection (OSI) model. The present study focuses on the sublayers of the application layer to make an inference of the network state of the sublayers. Specifically, individual attributes are assigned with thresholds to make an inference of the appropriate finite state for each attribute. Dynamic extraction of the protocol state as proposed by this study can improve the indicators of individual users’ experiences. The problem of formulated web-based networking services can be resolved by creating autonomously controlled protocols based on dynamic extraction.
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Acknowledgment
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2014-0-00547, Development of Core Technology for Autonomous Network Control and Management) and Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. NRF-2017M3C4A7083678).
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Oh, Y., Kim, K. (2019). Development of Sublayer Network State Inference Technology Based on Protocol State Dynamic Extraction for Improved Web Environment. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_5
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DOI: https://doi.org/10.1007/978-3-030-19063-7_5
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