Abstract
Fog computing has emerged in the recent years as a paradigm tailored to serve geo-distributed applications requiring low latency. Remote Control (RC) applications allow a mobile device to control another device from remote. To enrich Quality of Experience (QoE) of RC applications, in this paper we investigate the use of fog computing as a viable platform to offload computation of tasks that would be expensive if performed locally on a mobile device. The proposed approach, supported with next 5G communication systems, will enable a Tactile Internet experience. In this paper we study and compare offload policies to accommodate tasks in the fog platform and analyze the requirements to minimize outages.
Claudio developed this work as a PhD student at the University of Luxembourg.
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In the reminder of the paper, we use the terms tasks and jobs interchangeably.
References
Aazam, M., Huh, E.N.: Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT. In: IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 687–694 (2015)
Andrews, J.G., Buzzi, S., Choi, W., Hanly, S.V., Lozano, A., Soong, A.C.K., Zhang, J.C.: What will 5G be? IEEE J. Sel. Areas Commun. 32(6), 1065–1082 (2014)
Asadpour, M., den Bergh, B.V., Giustiniano, D., Hummel, K.A., Pollin, S., Plattner, B.: Micro aerial vehicle networks: an experimental analysis of challenges and opportunities. IEEE Commun. Mag. 52(7), 141–149 (2014)
Balasubramanian, A., Mahajan, R., Venkataramani, A.: Augmenting mobile 3G using WiFi. In: 8th International Conference on Mobile Systems, Applications, and Services, MobiSys, pp. 209–222. ACM (2010)
Bonomi, F., Milito, R., Natarajan, P., Zhu, J.: Fog computing: a platform for Internet of Things and analytics. In: Big Data and Internet of Things: A Roadmap for Smart Environments, pp. 169–186. Springer (2014)
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the Internet of Things. In: 1st Workshop on Mobile Cloud Computing, MCC, pp. 13–16. ACM (2012)
Chen, M., Hao, Y., Li, Y., Lai, C.F., Wu, D.: On the computation offloading at ad hoc cloudlet: architecture and service modes. IEEE Commun. Mag. 53(6), 18–24 (2015)
Fiandrino, C., Kliazovich, D., Bouvry, P., Zomaya, A.Y.: Network-assisted offloading for mobile cloud applications. In: IEEE International Conference on Communications (ICC), pp. 5833–5838 (2015)
Hohwald, H., Frías-Martínez, E., Oliver, N.: User modeling for telecommunication applications: experiences and practical implications. In: International Conference on User Modeling, Adaptation and Personalization, pp. 327–338. Springer (2010)
Kehoe, B., Patil, S., Abbeel, P., Goldberg, K.: A survey of research on cloud robotics and automation. IEEE Trans. Autom. Sci. Eng. 12(2), 398–409 (2015)
Kumar, K., Lu, Y.H.: Cloud computing for mobile users: can offloading computation save energy? Computer 43(4), 51–56 (2010)
Mach, P., Becvar, Z.: Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun. Surv. Tutorials (2017)
Malandrino, F., Chiasserini, C., Kirkpatrick, S.: The price of fog: a data-driven study on caching architectures in vehicular networks. In: 1st International Workshop on Internet of Vehicles and Vehicles of Internet, IoV-VoI, pp. 37–42 (2016)
Ragona, C., Granelli, F., Fiandrino, C., Kliazovich, D., Bouvry, P.: Energy-efficient computation offloading for wearable devices and smartphones in mobile cloud computing. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2015)
Rouanet, P., Oudeyer, P.Y., Danieau, F., Filliat, D.: The impact of human-robot interfaces on the learning of visual objects. IEEE Trans. Rob. 29(2), 525–541 (2013)
Sarkar, S., Chatterjee, S., Misra, S.: Assessment of the suitability of fog computing in the context of Internet of Things. IEEE Trans. Cloud Comput. (2015)
Sciarrone, A., Fiandrino, C., Bisio, I., Lavagetto, F., Kliazovich, D., Bouvry, P.: Smart probabilistic fingerprinting for indoor localization over fog computing platforms. In: 5th IEEE International Conference on Cloud Networking (CloudNet), pp. 39–44 (2016)
Simsek, M., Aijaz, A., Dohler, M., Sachs, J., Fettweis, G.: 5G-enabled tactile internet, pp. 460–473 (2016)
Wang, S., Zhang, X., Zhang, Y., Wang, L., Yang, J., Wang, W.: A survey on mobile edge networks: convergence of computing, caching and communications. IEEE Access 5, 6757–6779 (2017)
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Fiandrino, C., Giaccone, P., Mahmood, A., Maioli, L. (2018). Enriching Remote Control Applications with Fog Computing. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_43
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DOI: https://doi.org/10.1007/978-3-319-61566-0_43
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