Abstract
Latency is an important metric of mobile applications performance. To reduce the latency, recently it was proposed to replace the standard centralized architecture of mobile applications by the mobile edge computing (MEC). Such an approach allows processing of users data closer to their location. Motivated by disaster response scenarios, in this paper we investigated the capabilities of MEC for the forwarding of first aid request as an illustrative example of P2P service discovery in an emergency situation. We proposed an analytical model of the system and executed performance evaluation using system level simulator. Our results show that the developed solution considerably reduces the request processing time. The proposed solution can be used not only for first aid but also for general purposes, e.g., searching various service providers in a certain location.
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Hu, Y.C., Patel, M., Sabella, D., Sprecher, N., Young, V.: Mobile edge computing-a key technology towards 5G. ETSI White Paper 11(11), 1–16 (2015)
Beck, M. T., Werner, M., Feld, S., Schimper, S.: Mobile edge computing: a taxonomy. In: Proceedings of the Sixth International Conference on Advances in Future Internet, pp. 48–55, Citeseer (2014)
Pirmagomedov, R., Blinnikov, M., Glushakov, R., Muthanna, A., Kirichek, R., Koucheryavy, A.: Dynamic data packaging protocol for real-time medical applications of nanonetworks. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART/NsCC -2017. LNCS, vol. 10531, pp. 196–205. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67380-6_18
Mach, P., Becvar, Z.: Mobile edge computing: a survey on architecture and computation offloading. IEEE Communications Surveys & Tutorials 19(3), 1628–1656 (2017)
Pirmagomedov, R., Hudoev, I., Shangina, D.: Simulation of medical sensor nanonetwork applications traffic. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2016. CCIS, vol. 678, pp. 430–441. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-51917-3_38
Sabella, D., Vaillant, A., Kuure, P., Rauschenbach, U., Giust, F.: Mobile-edge computing architecture: the role of mec in the internet of things. IEEE Consum. Electron. Mag. 5(4), 84–91 (2016)
Cooper, R.B. (ed.): Introduction to Queueing Theory, 2nd edn, p. 347. Elsevier North Holland, New York (1981)
Dunaytsev, R., Moltchanov, D., Koucheryavy, Y., Strandberg, O., Flinck, H.: A survey of P2P traffic management approaches: best practices and future directions. Internet Eng. 5(1), 318–330 (2012)
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Pirmagomedov, R., Ahmed, A.A., Glushakov, R. (2019). Multi-level Architecture for P2P Services in Mobile Networks. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_35
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DOI: https://doi.org/10.1007/978-3-030-30859-9_35
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