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Context Aware Resource and Service Provisioning Management in Fog Computing Systems

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Intelligent Distributed Computing XI (IDC 2017)

Abstract

Complexity of IoT systems and tasks that are put before them require shifts in the way resources and service provisioning are managed. The concept of fog computing is introduced so as to enhance IoT systems scalability, reactivity, efficiency and privacy. In this paper we present fog computing solution with context aware decision-making procedures distributed between IoT cloud platform and IoT gateways. The solution performs decision-making for smart actuation, based on analysis of sensory data streams, and context informed fog computing resource and service provisioning management based on topology changes. The state-of-the-art mainly focuses either on smart actuation enabled through insightful data analysis and machine learning, or on managing fog system itself in order to improve performance and efficiency. Our solution showcases how one software framework can be used to achieve both. Proof of concept experiments executed on a fog computing testbed validate our solutions performance in improving resilience and responsiveness of the fog computing system in context of topology changes.

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Notes

  1. 1.

    Message Queuing Telemetry Transport: http://www.mqtt.org.

  2. 2.

    FHEM: http://www.fhem.de.

  3. 3.

    EnOcean: http://www.enocean.com.

  4. 4.

    Mosquitto: http://www.mosquitto.org.

  5. 5.

    Haystack: http://www.haystacktechnologies.com.

References

  1. Da Xu, L., He, W., Li, S.: Internet of things in industries: a survey. IEEE Trans. Ind. Inf. 10, 2233–2243 (2014)

    Article  Google Scholar 

  2. Sicari, S., Rizzardi, A., Grieco, L.A., Coen-Porisini, A.: Security, privacy and trust in Internet of Things: the road ahead. Comput. Netw. 76, 146–164 (2015)

    Article  Google Scholar 

  3. Luan, T.H., Gao, L., Li, Z., Xiang, Y., Wei, G., Sun, L.: Fog computing: focusing on mobile users at the edge. arXiv preprint arXiv:1502.01815 (2015)

  4. Ciccozzi, F., Spalazzese, R.: MDE4IoT: supporting the internet of things with model-driven engineering. In: International Symposium on Intelligent and Distributed Computing, pp. 67–76. Springer (2016)

    Google Scholar 

  5. Piette, F., Caval, C., Dinont, C., Seghrouchni, A.E.F., Taillibert, P.: A multi-agent approach for the deployment of distributed applications in smart environments. In: International Symposium on Intelligent and Distributed Computing, pp. 37–46. Springer (2016)

    Google Scholar 

  6. Burchard, J., Chemodanov, D., Gillis, J., Calyam, P.: Wireless mesh networking protocol for sustained throughput in edge computing. In: 2017 International Conference on Computing, Networking and Communications (ICNC), pp. 958–962. IEEE (2017)

    Google Scholar 

  7. Xu, Y., Mahendran, V., Radhakrishnan, S.: Towards SDN-based fog computing: Mqtt broker virtualization for effective and reliable delivery. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS), pp. 1–6. IEEE (2016)

    Google Scholar 

  8. Wagle, S.: Semantic data extraction over MQTT for IoTcentric wireless sensor networks. In: International Conference on Internet of Things and Applications (IOTA), pp. 227–232. IEEE (2016)

    Google Scholar 

  9. Tosic, M., Ikovic, O., Boskovic, D.: SDN based service provisioning management in smart buildings. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 754–759. IEEE (2016)

    Google Scholar 

  10. Tosic, M., Ikovic, O., Boskovic, D.: Soft sensors in wireless networking as enablers for SDN based management of content delivery. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 559–564. IEEE (2016)

    Google Scholar 

  11. Karagiannis, V., Chatzimisios, P., Vazquez-Gallego, F., Alonso-Zarate, J.: A survey on application layer protocols for the Internet of Things. Trans. IoT Cloud Comput. 3(1), 11–17 (2015)

    Google Scholar 

  12. Hakiri, A., Berthou, P., Gokhale, A., Abdellatif, S.: Publish/subscribe-enabled software defined networking for efficient and scalable iot communications. IEEE Commun. Mag. 53(9), 48–54 (2015)

    Article  Google Scholar 

  13. Singh, M., Rajan, M., Shivraj, V., Balamuralidhar, P.: Secure MQTT for Internet of Things (iot). In: 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT), pp. 746–751. IEEE (2015)

    Google Scholar 

  14. Anders, A.: Enocean Wireless Systems—Range Planning Guide. EnOcean Gmbh (2008)

    Google Scholar 

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Correspondence to Saša Pešić .

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Pešić, S., Tošić, M., Iković, O., Ivanović, M., Radovanović, M., Bošković, D. (2018). Context Aware Resource and Service Provisioning Management in Fog Computing Systems. In: Ivanović, M., Bădică, C., Dix, J., Jovanović, Z., Malgeri, M., Savić, M. (eds) Intelligent Distributed Computing XI. IDC 2017. Studies in Computational Intelligence, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-66379-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-66379-1_19

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