Communication Mechanism for Service Migration Aware of the Location of the Cloud and Fog

• Gilmar Moraes UFPA
• Denis Rosário UFPA http://orcid.org/0000-0003-1119-2450
• Eduardo Cerqueira UFPA http://orcid.org/0000-0003-2162-6523
• Helder Oliveira UFPA http://orcid.org/0000-0003-3143-6280

DOI: https://doi.org/10.5753/sbcup.2020.11214

Abstract

The growing demand for entertainment services in real-time together with the increasing spread of mobile devices has increased the need to perform services with high resources and in real-time. However, the current network scenario fails to provide a satisfactory quality of video streaming to mobile users, driving the migration of services closer to users. In this paper, a service migration mechanism is proposed, aware of the location of the cloud and / or fog, in which the services are encapsulated in containers and virtual machines and sent through elastic optical networks with spatial multiplexing. The results indicate that the proposed algorithm provides less blocking than another routing algorithm in the literature.

Keywords: Elastic Optical Networks, Service Migration, Cloud Computing, Fog Computing

References

Arnold, B., Baset, S. A., Dettori, P., Kalantar, M., Mohomed, I., Nadgowda, S., Sabath,M., Seelam, S. R., Steinder, M., Spreitzer, M., et al. (2016). Building the ibm containers cloud service. IBM Journal of Research and Development, 60(2-3):9–1.

Chen, X., Jiao, L., Li, W., and Fu, X. (2015). Efficient multi-user computation offloading for mobile-edge cloud computing.IEEE/ACM Transactions on Networking,24(5): 2795–2808.

Chen, X., Li, W., Lu, S., Zhou, Z., and Fu, X. (2018). Efficient resource allocation for on-demand mobile-edge cloud computing.IEEE Transactions on Vehicular Technology,67(9):8769–8780.

Gonçalves, D. M., Bittencourt, L. F., and Madeira, E. (2019). Análise da predição de mobilidade na migração de aplicações em computação em névoa. In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 580–593. SBC.

Li, J., Shen, X., Chen, L., Ou, J., Wosinska, L., and Chen, J. (2019). Delay-aware bandwidth slicing for service migration in mobile backhaul networks.IEEE/OSA Journal of Optical Communications and Networking, 11(4):B1–B9.

Li, J., Wosinska, L., and Chen, J. (2017). Dynamic bandwidth slicing to support servicemigration in passive optical network based mobile backhaul. In 2017 Asia Communications and Photonics Conference (ACP), pages 1–3. IEEE.

Li, J., Zhang, Y., Chen, X., and Xiang, Y. (2018). Secure attribute-based data sharing forresource-limited users in cloud computing.Computers & Security, 72:1–12.

Liu, J., Li, Y., Jin, D., Su, L., and Zeng, L. (2015). Traffic aware cross-site virtual machine migration in future mobile cloud computing. Mobile Networks and Applications,20(1):62–71.

Machen, A., Wang, S., Leung, K. K., Ko, B. J., and Salonidis, T. (2018). Live servicemigration in mobile edge clouds.Wireless Commun., 25(1):140–147.

Maheshwari, S., Choudhury, S., Seskar, I., and Raychaudhuri, D. (2018). Traffic-aware dynamic container migration for real-time support in mobile edge clouds. In 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pages 1–6. IEEE.

Moura, P. and Drummond, A. (2018). Flexgridsim: flexible grid optical network simulator.

Oliveira, H. and da Fonseca, N. (2017).Proteção de redes ópticas elásticas com multiplexação espacial baseada em modulação, p-cycle fipp e interferência mínima. In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. SBC.

Rejiba, Z., Masip-Bruin, X., and Marín-Tordera, E. (2019). A survey on mobility-induced service migration in the fog, edge, and related computing paradigms. ACM ComputingSurveys (CSUR), 52(5):1–33.

Varghese, B. and Buyya, R. (2018). Next generation cloud computing: New trends andresearch directions. Future Generation Computer Systems, 79:849–861.