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Resource Allocation for the Provision of Augmented Reality Service

  • Maria MakolkinaEmail author
  • Alexander Paramonov
  • Andrey Koucheryavy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)

Abstract

This paper will look at the method for selecting the structural parameters of a service system when providing augmented reality service is proposed. The particular features of service provision, the quality of its perception are considered and the quality time indicators assessment model is proposed. As optimization goal, the formulation of the service system resources allocation task is given.

Keywords

Augmented Reality Communication service Data transmission Quality of Service Quality of Experience Service system 

Notes

Acknowledgements

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

References

  1. 1.
    Makolkina, M., Paramonov, A., Vladyko, A., Dunaytsev, R., Kirichek, R., Koucheryavy, A.: SDN VANETs in 5G: an architecture for resilient security services. Adv. Intell. Syst. Res. 134, 153–157 (2017)Google Scholar
  2. 2.
    Hussein, A., et al.: The use of UAVs, SDN, and augmented reality for VANET applications. In: Proceedings of the Fourth International Conference on Software Defined Systems (SDS), pp. 67–74 (2017)Google Scholar
  3. 3.
    Makolkina, M., Kirichek, R., Teltevskaya, V., Surodeeva, E.: Research of interaction between applications of augmented reality and control methods of UAVs. In: Koucheryavy, Y., Mamatas, L., Matta, I., Ometov, A., Papadimitriou, P. (eds.) WWIC 2017. LNCS, vol. 10372, pp. 186–193. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-61382-6_15CrossRefGoogle Scholar
  4. 4.
    Billinghurst, M., Clark, A., Lee, G.: A survey of augmented reality. Found. Trends Hum. Comput. Interact. 8(2–3), 73–272 (2015)CrossRefGoogle Scholar
  5. 5.
    Leppänen, T., Heikkinen, A., Karhu, A., Harjula, E., Riekki, J., Koskela, T.: Augmented reality web applications with mobile agents in the internet of things. In:2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST), pp. 54–59. IEEE (2014)Google Scholar
  6. 6.
    Volkov, A., Khakimov, A., Muthanna, A., Kirichek, R., Vladyko, A., Koucheryavy, A.: Interaction of the IoT traffic generated by a smart city segment with SDN core network. In: Koucheryavy, Y., Mamatas, L., Matta, I., Ometov, A., Papadimitriou, P. (eds.) WWIC 2017. LNCS, vol. 10372, pp. 115–126. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-61382-6_10CrossRefGoogle Scholar
  7. 7.
    Makolkina, M., Vikulov, A., Paramonov, A.: The augmented reality service provision in D2D network. Commun. Comput. Inf. Sci. 700, 281–290 (2017)Google Scholar
  8. 8.
    Makolkina, M., Koucheryavy, A., Paramonov, A.: The models of moving users and IoT devices density investigation for augmented reality applications. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART/NsCC -2017. LNCS, vol. 10531, pp. 671–682. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-67380-6_64CrossRefGoogle Scholar
  9. 9.
    Makolkina, M., Koucheryavy, A., Paramonov, A.: Investigation of traffic pattern for the augmented reality applications. In: Koucheryavy, Y., Mamatas, L., Matta, I., Ometov, A., Papadimitriou, P. (eds.) WWIC 2017. LNCS, vol. 10372, pp. 233–246. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-61382-6_19CrossRefGoogle Scholar
  10. 10.
    Andreev, S., Galinina, O., Pyattaev, A., Johansson, K., Koucheryavy, Y.: Analyzing assisted offloading of cellular user sessions onto D2D links in unlicensed bands. IEEE J. Sel. Areas Commun. 33(1), 67–80 (2014)CrossRefGoogle Scholar
  11. 11.
    Makolkina, M., Paramonov, A., Vladyko, A., Dunaytsev, R., Kirichek, R., Koucheryavy, A.: The use of Uavs, SDN, and augmented reality for VANET applications. In: 3rd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2017), “DEStech Transactions on Computer Science and Engineering”, pp. 364–368 (2017)Google Scholar
  12. 12.
    Paramonov, A., Hussain, O., Samouylov, K., Koucheryavy, A., Kirichek, R., Koucheryavy, Y.: Clustering optimization for out-of-band D2D communications. Wirel. Commun. Mob. Comput. 2017 (2017). Article ID 6747052, 11 p.  https://doi.org/10.1155/2017/6747052CrossRefGoogle Scholar
  13. 13.
    Vybornova, A., Koucheryavy, A.: Traffic analysis in target tracking ubiquitous sensor networks. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 389–398. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-10353-2_34CrossRefGoogle Scholar
  14. 14.
    Iversen, V.B.: Teletraffic Engineering and Network Planning. Technical University of Denmark (2010). http://www.osti.gov/eprints/topicpages/documents/record/982/1473132.html
  15. 15.
    Ateya, A., Muthanna, A., Gudkova, I., Abuarqoub, A., Vybornova, A., Koucheryavy, A.: Development of intelligent core network for tactile internet and future smart systems. J. Sens. Actuator Netw. 7(1), 1 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Maria Makolkina
    • 1
    • 2
    Email author
  • Alexander Paramonov
    • 1
  • Andrey Koucheryavy
    • 1
  1. 1.The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSt. PetersburgRussia
  2. 2.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation

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