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A Fog-Cloud Approach to Enhance Communication in a Distance Learning Cloud Based System

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 96))

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Abstract

IT infrastructures have changed to cloud computing since this model allows omnipresent and on-demand access to share computing resources. Such resources can be quickly provisioned and released with minimal management effort. However, cloud computing has been challenged to be scalable as regards the infrastructure of the systems. These challenges are reinforced in distance-learning environments where cloud infrastructure is adopted, and the supporting off-campus units, located in precarious regions, suffer for poor infrastructure. Consequently, fog-cloud models have emerged to improve application performance using local prepossessing of data and analysis of communication requirements. The present study envisages the solution of a problem in a Brazilian university that offers distance education. A low cost technological solution is proposed using the Fog-Cloud computing paradigm. In order to evaluate the proposal, an experiment using real data was carried out and the results obtained point to viability of the proposal.

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References

  1. Cisco: Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Are. White Paper, Cisco (2015)

    Google Scholar 

  2. IBM. https://www.ibm.com/blogs/cloud-computing/2014/08/25/fog-computing/. Accessed Feb 2019

  3. Openfog. https://www.openfogconsortium.org/. Accessed Feb 2019

  4. Gomes, E.H.A., Plentz, P.D.M., De Rolt, C.R., Dantas, M.A.R.: A survey on data stream, big data and real-time. Int. J. Netw. Virtual Organ. 20(2), 143–167 (2019)

    Article  Google Scholar 

  5. Deng, R., Lu, R., Lai, C., Luan, T.H.: Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing. In: 2015 IEEE International Conference on Communications (ICC), pp. 3909–3914, June 2015, https://doi.org/10.1109/icc.2015.7248934

  6. Stojmenovic, I., Wen, S., Huang, X., Luan, H.: An overview of Fog computing and its security issues. Concurr. Comput.: Pract. Exp. 28(10), 2991–3005 (2016). https://doi.org/10.1002/cpe.3485

    Article  Google Scholar 

  7. Pepper, R., Garrity, J.: The internet of everything: how the network unleashes the benefits of big data. In: Bilbao-Osorio, B., Dutta, S., Lanvin, B. (eds.) The Global Information Technology Report 2014, Rewards and Risks of Big Data, pp. 35–43. World Economic Forum, Geneva (2014)

    Google Scholar 

  8. Pham, X.-Q., Huh, E.-N.: Towards task scheduling in a cloud-fog computing system. In: 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), pp. 1–4, October 2016. https://doi.org/10.1109/apnoms.2016.7737240

  9. 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 (2017). https://doi.org/10.1109/tcomm.2017.2787700

    Article  Google Scholar 

  10. Bierzynski, K., Escobar, A., Eberl, M.: Cloud, fog and edge: Cooperation for the future? In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), pp. 62–67, May 2017. https://doi.org/10.1109/fmec.2017.7946409

  11. Ijtihadie, R.M., Hidayanto, B.C., Affandi, A., Chisaki, Y., Usagawa, T.: Dynamic content synchronization between learning management systems over limited bandwidth network. Hum.-Centric Comput. Inf. Sci. 2(1), 17 (2012). https://doi.org/10.1186/2192-1962-2-17

    Article  Google Scholar 

  12. Ngom, B., Guillermet, H., Niang, I.: Enhancing Moodle for offline learning in a degraded connectivity environment. In: 2012 International Conference on Multimedia Computing and Systems, pp. 858–863, May 2012. https://doi.org/10.1109/icmcs.2012.6320168

  13. Mell, P.M., Grance, T.: The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology (2011)

    Google Scholar 

  14. Dantas, M., Bogoni, A.R., Eduardo, P., Filho, P., Eduardo, J.F.: An application study case tradeoff between throughput and latency on fog-cloud cooperation. In: IJNVO (In press)

    Google Scholar 

  15. SPEEDTEST. https://www.speedtest.net/reports/brazil/. Accessed Feb 2019

  16. MOODLE. https://moodle.org/. Accessed Feb 2019

  17. GitHub. https://github.com/lucaslarcher/Framework_Analise_Saida_NS2. Accessed Feb 2019

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Acknowledgment

The authors would like to thank FAPEMIG, CAPES, CNPq and PTI-Lasse for partially funding the research presented in this article.

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Authors and Affiliations

  1. Federal University of Juiz de Fora (UFJF), Juiz de Fora, MG, Brazil

    Lucas Larcher, Victor Ströele & Mario Dantas

Authors
  1. Lucas Larcher
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  2. Victor Ströele
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  3. Mario Dantas
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Corresponding author

Correspondence to Lucas Larcher .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. University of Antwerp, Antwerpen, Belgium

    Peter Hellinckx

  3. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

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Larcher, L., Ströele, V., Dantas, M. (2020). A Fog-Cloud Approach to Enhance Communication in a Distance Learning Cloud Based System. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_25

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  • DOI: https://doi.org/10.1007/978-3-030-33509-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33508-3

  • Online ISBN: 978-3-030-33509-0

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