Service Migration Strategy based on Context Information in a MEC Architecture

• Fábio Araújo UFPA
• Derian Sobral UFPA
• Stefany Pinheiro CESUPA
• Helder Oliveira UFPA
• Denis Rosário UFPA

DOI: https://doi.org/10.5753/semish.2021.15806

Abstract

Recently, mobile edge computing and service migration policies have shown promising results to improve the user experience and optimize the use of infrastructure resources. However, contextual information, in conjunction with the resources available on users' devices, has been ignored by most policies. In this paper, we propose a service migration strategy based on contextual information and evaluate the influence of user mobility on migration strategies. Simulation results highlight the superior performance of the proposed strategy compared to state-of-the-art algorithms and a performance equivalent to the optimal solution when the collection and analysis of context information is carried out properly.

Keywords: Service Migration, Optimization, Mobile Edge Computing, MEC

References

Araújo, F., Rosário, D., Cerqueira, E., and Villas, L. A. (2019). A hybrid energy-awarevideo bitrate adaptation algorithm for mobile networks. In2019 15th Annual Confe-rence on Wireless On-demand Network Systems and Services (WONS), pages 146–153.IEEE.

Chen, M., Hao, Y., Qiu, M., Song, J., Wu, D., and Humar, I. (2016). Mobility-awarecaching and computation offloading in 5g ultra-dense cellular networks.Sensors,16(7):974.

Coelho, M. d. S., Melo, C. A., and da Fonseca, N. L. (2017). Versioning-aware andqoe-oriented strategy for adaptative bitrate streaming. In2017 IEEE InternationalConference on Communications (ICC), pages 1–6. IEEE.

Forecast, G. (2019). Cisco visual networking index: global mobile data traffic forecastupdate, 2017–2022.Update, 2017:2022.

Quer, G., Pappalardo, I., Rao, B. D., and Zorzi, M. (2018). Proactive caching strategiesin heterogeneous networks with device-to-device communications.IEEE Transactionson Wireless Communications, 17(8):5270–5281.

Rosário, D., Schimuneck, M., Camargo, J., Nobre, J., Both, C., Rochol, J., and Gerla, M.(2018). Service migration from cloud to multi-tier fog nodes for multimedia dissemi-nation with qoe support.Sensors, 18(2):329.

Vo, N.-S., Bui, M.-P., Truong, P. Q., Yin, C., and Masaracchia, A. (2020). Multi-tierCaching and Resource Sharing for Video Streaming in 5G Ultra-dense Networks.IEEECommunications Letters, 7798(c):1–1.

Wang, W., Ge, S., and Zhou, X. (2020). Location-Privacy-Aware Service Migration inMobile Edge Computing. pages 1–6.

Zhu, H., Cao, Y., Hu, Q., Wang, W., Jiang, T., and Zhang, Q. (2019). Multi-Bitrate VideoCaching for D2D-Enabled Cellular Networks.IEEE Multimedia, 26(1):10–20.