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Predictive Management of Fog Applications

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Advances in Service-Oriented and Cloud Computing (ESOCC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1115))

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Abstract

Deploying and managing multi-component IoT applications in Fog computing scenarios is challenging due to the heterogeneity, scale and dynamicity of Fog infrastructures, as well as due to the complexity of modern software systems. When deciding where/how to (re-)allocate application components over the continuum from the IoT to the Cloud, application administrators need to find the “best” deployment, satisfying all application (hardware, software, QoS, IoT) requirements over the contextually available resources, also fulfilling non-functional desiderata (e.g., financial costs, security).

S. Forti—PhD Thesis Supervisor: Prof. Antonio Brogi, University of Pisa, Italy.

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Notes

  1. 1.

    Data on monitored infrastructure capabilities – collected either through centralised or self-attesting distributed mechanisms – can be aggregated and used to this end.

  2. 2.

    Available at: https://github.com/di-unipi-socc/FogTorchPI/.

  3. 3.

    Available at: https://github.com/di-unipi-socc/FogDirMime/.

References

  1. Arkian, H.R., Diyanat, A., Pourkhalili, A.: MIST: fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications. J. Netw. Comput. Appl. 82, 152–165 (2017)

    Article  Google Scholar 

  2. Bao, W., et al.: Follow me fog: toward seamless handover timing schemes in a fog computing environment. IEEE Commun. Mag. 55(11), 72–78 (2017)

    Article  Google Scholar 

  3. Bonomi, F., Milito, R., Natarajan, P., Zhu, J.: Fog computing: a platform for internet of things and analytics. In: Bessis, N., Dobre, C. (eds.) Big Data and Internet of Things: A Roadmap for Smart Environments. SCI, vol. 546, pp. 169–186. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-05029-4_7

    Chapter  Google Scholar 

  4. Brogi, A., Forti, S.: QoS-aware deployment of IoT applications through the fog. IEEE Internet Things J. 4(5), 1185–1192 (2017)

    Article  Google Scholar 

  5. Brogi, A., Forti, S., Ibrahim, A.: How to best deploy your fog applications, probably. In: Rana, O., Buyya, R., Anjum, A. (eds.) Proceedings of 1st IEEE International Conference on Fog and Edge Computing, Madrid (2017)

    Google Scholar 

  6. Brogi, A., Forti, S., Ibrahim, A.: Deploying fog applications: how much does it cost, by the way? In: Proceedings of the 8th International Conference on Cloud Computing and Services Science, CLOSER 2018, Funchal, Madeira, Portugal, 19–21 March 2018, pp. 68–77 (2018)

    Google Scholar 

  7. Brogi, A., Forti, S., Ibrahim, A.: Predictive analysis to support fog application deployment. In: Buyya, R., Srirama, S.N. (eds.) Fog and Edge Computing: Principles and Paradigms, chap. 9, pp. 191–222. Wiley (2019)

    Google Scholar 

  8. Brogi, A., Forti, S., Ibrahim, A., Rinaldi, L.: Bonsai in the fog: an active learning lab with fog computing. In: Third International Conference on Fog and Mobile Edge Computing (FMEC), pp. 79–86. IEEE (2018)

    Google Scholar 

  9. Cardellini, V., Grassi, V., Lo Presti, F., Nardelli, M.: Optimal operator placement for distributed stream processing applications. In: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS 2016, pp. 69–80. ACM, New York (2016)

    Google Scholar 

  10. CISCO: Cisco Fog Director Reference Guide (v. 1.5) (2017). https://www.cisco.com/c/en/us/td/docs/routers/access/800/software/guides/iox/fog-director/reference-guide/1-5/fog_director_ref_guide.html

  11. Ficco, M., Esposito, C., Xiang, Y., Palmieri, F.: Pseudo-dynamic testing of realistic edge-fog cloud ecosystems. IEEE Commun. Mag. 55(11), 98–104 (2017)

    Article  Google Scholar 

  12. Fischer, J., Majumdar, R., Esmaeilsabzali, S.: Engage: a deployment management system. SIGPLAN Not. 47(6), 263–274 (2012)

    Article  Google Scholar 

  13. Forti, S., Ibrahim, A., Brogi, A.: Mimicking FogDirector application management. Softw.-Intensiv. Cyber-Phys. Syst. 34(2–3), 151–161 (2019). https://doi.org/10.1007/s00450-019-00403-y

    Article  Google Scholar 

  14. Guerrero, C., Lera, I., Juiz, C.: A lightweight decentralized service placement policy for performance optimization in fog computing. J. Ambient Intell. Humanized Comput. 10(6), 2435–2452 (2018). https://doi.org/10.1007/s12652-018-0914-0

    Article  Google Scholar 

  15. Gupta, H., Vahid Dastjerdi, A., Ghosh, S.K., Buyya, R.: iFogSim: a toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments. Softw. Pract. Exp. 47(9), 1275–1296 (2017)

    Article  Google Scholar 

  16. Hong, H.J., Tsai, P.H., Hsu, C.H.: Dynamic module deployment in a fog computing platform. In: 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), pp. 1–6 (2016)

    Google Scholar 

  17. Jarraya, Y., Eghtesadi, A., Debbabi, M., Zhang, Y., Pourzandi, M.: Cloud calculus: security verification in elastic cloud computing platform. In: International Conference on Collaboration Technologies and Systems (CTS), pp. 447–454 (2012)

    Google Scholar 

  18. Mahmud, R., Ramamohanarao, K., Buyya, R.: Latency-aware application module management for fog computing environments. ACM Trans. Internet Technology (TOIT) 9, 1–21 (2018)

    Google Scholar 

  19. Maurer, M., Brandic, I., Sakellariou, R.: Adaptive resource configuration for Cloud infrastructure management. Future Gener. Comput. Syst. 29(2), 472–487 (2013)

    Article  Google Scholar 

  20. OpenFog: OpenFog Reference Architecture (2016)

    Google Scholar 

  21. Rahbari, D., Nickray, M.: Scheduling of fog networks with optimized knapsack by symbiotic organisms search. In: 21st Conference of Open Innovations Association (FRUCT), pp. 278–283 (2017)

    Google Scholar 

  22. Skarlat, O., Nardelli, M., Schulte, S., Dustdar, S.: Towards QoS-aware fog service placement. In: IEEE 1st International Conference on Fog and Edge Computing (ICFEC), pp. 89–96 (2017)

    Google Scholar 

  23. Taneja, M., Davy, A.: Resource aware placement of IoT application modules in fog-cloud computing paradigm. In: IFIP/IEEE Symposium on Integrated Network and Service Management (IM), pp. 1222–1228 (2017)

    Google Scholar 

  24. Tang, Z., Zhou, X., Zhang, F., Jia, W., Zhao, W.: Migration modeling and learning algorithms for containers in fog computing. IEEE Trans. Serv. Comput. 12(5), 712–725 (2018)

    Article  Google Scholar 

  25. Varshney, P., Simmhan, Y.: Demystifying fog computing: characterizing architectures, applications and abstractions. In: IEEE 1st International Conference on Fog and Edge Computing (ICFEC), pp. 115–124 (2017)

    Google Scholar 

  26. Villari, M., Fazio, M., Dustdar, S., Rana, O., Ranjan, R.: Osmotic computing: a new paradigm for edge/cloud integration. IEEE Cloud Comput. 3(6), 76–83 (2016)

    Article  Google Scholar 

  27. Wang, S., Zafer, M., Leung, K.K.: Online placement of multi-component applications in edge computing environments. IEEE Access 5, 2514–2533 (2017)

    Article  Google Scholar 

  28. Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., Rovatsos, M.: Fog orchestration for internet of things services. IEEE Internet Comput. 21(2), 16–24 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    Stefano Forti

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  1. Stefano Forti
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Correspondence to Stefano Forti .

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Editors and Affiliations

  1. University of Messina, Messina, Italy

    Maria Fazio

  2. Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

    Wolf Zimmermann

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Forti, S. (2020). Predictive Management of Fog Applications. In: Fazio, M., Zimmermann, W. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2018. Communications in Computer and Information Science, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-030-63161-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-63161-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63160-4

  • Online ISBN: 978-3-030-63161-1

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