Advertisement

Computation Offloading with MQTT Protocol on a Fog-Mist Computing Framework

  • Pietro BattistoniEmail author
  • Monica Sebillo
  • Giuliana Vitiello
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11874)

Abstract

Although computation offloading has been widely discussed into research literature, as an optimisation mechanism that can utilise remote CPU resources on Cloud, it has not been extensively applied in highly constrained devices due to its long latency and the unreliability of the Internet connection. In a previous work, a Fog-Mist Computing Framework was proposed, which claims to offer lower latency and remove the need for the persistent Internet connectivity. The Fog-Mist Computing underlying architecture is made up of Fog-Nodes and Mist-Node. The Mist-Node are placed directly within the edge fabrics, thus providing the Mobile Devices with connectivity services and low latency computational resources. In this paper, the MQTT, a Publisher/Subscriber messaging protocol, is adopted to deploy a Remote Function Invocation among the Nodes of such a Framework, at the edge of the network.

Keywords

Remote Function Invocation MQTT Computation offloading Fog Computing Mist Computing Mobile Device 

References

  1. 1.
  2. 2.
    Battistoni, P., Sebillo, M., Vitiello, G.: Experimenting with a fog-computing architecture for indoor navigation. In: 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), pp. 161–165, June 2019.  https://doi.org/10.1109/FMEC.2019.8795307
  3. 3.
    Calice, G., Mtibaa, A., Beraldi, R., Alnuweiri, H.: Mobile-to-mobile opportunistic task splitting and offloading. In: 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 565–572, October 2015.  https://doi.org/10.1109/WiMOB.2015.7348012
  4. 4.
    Cisco: Forecast and trends, 2017–2022 white paperGoogle Scholar
  5. 5.
    Du, J., Zhao, L., Feng, J., Chu, X.: Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee. IEEE Trans. Commun. 66(4), 1594–1608 (2018).  https://doi.org/10.1109/TCOMM.2017.2787700CrossRefGoogle Scholar
  6. 6.
    Le, M., Clyde, S., Kwon, Y.W.: Enabling multi-hop remote method invocation in device-to-device networks. Hum.-Centric Comput. Inf. Sci. 9(1), 20 (2019).  https://doi.org/10.1186/s13673-019-0182-9CrossRefGoogle Scholar
  7. 7.
    Le, M., Kwon, Y.W.: Utilizing nearby computing resources for resource-limited mobile devices. In: Proceedings of the Symposium on Applied Computing, SAC 2017, pp. 572–575. ACM, New York (2017).  https://doi.org/10.1145/3019612.3019884
  8. 8.
    Iorga, M., Feldman, L., Barton, R., Martin, M.J., Goren, N.S., Mahmoudi, C.: Fog computing conceptual model (2018)Google Scholar
  9. 9.
    Wang, Y., Tao, X., Zhang, X., Zhang, P., Hou, Y.T.: Cooperative task offloading in three-tier mobile computing networks: an ADMM framework. IEEE Trans. Veh. Technol. 68(3), 2763–2776 (2019).  https://doi.org/10.1109/TVT.2019.2892176CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of SalernoFiscianoItaly

Personalised recommendations