Abstract
With the emerging Internet of Things (IoT), distributed systems enter a new era. While pervasive and ubiquitous computing already became reality with the use of the cloud, IoT networks present new challenges because the ever growing number of IoT devices increases the latency of transferring data to central cloud data centers. Edge and fog computing represent practical solutions to counter the huge communication needs between IoT devices and the cloud. Considering the complexity and heterogeneity of edge and fog computing, however, resource provisioning remains the Achilles heel of efficiency for IoT applications. According to the importance of operating-system virtualization (so-called containerization), we propose an application-aware container scheduler that helps to orchestrate dynamic heterogeneous resources of edge and fog architectures. By considering available computational capacity, the proximity of computational resources to data producers and consumers, and the dynamic system status, our proposed scheduling mechanism selects the most adequate host to achieve the minimum response time for a given IoT service. We show how a hybrid use of containers and serverless microservices improves the performance of running IoT applications in fog-edge clouds and lowers usage fees. Moreover, our approach outperforms the scheduling mechanisms of Docker Swarm.
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References
Aazam, M., Huh, E.N.: Dynamic resource provisioning through fog micro datacenter. In: IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 105–110, March 2015. https://doi.org/10.1109/PERCOMW.2015.7134002
Ahmed, A., Pierre, G.: Docker container deployment in fog computing infrastructures. In: IEEE International Conference on Edge Computing (EDGE), pp. 1–8, July 2018. https://doi.org/10.1109/EDGE.2018.00008
Bittencourt, L.F., Diaz-Montes, J., Buyya, R., Rana, O.F., Parashar, M.: Mobility-aware application scheduling in fog computing. IEEE Cloud Comput. 4(2), 26–35 (2017). https://doi.org/10.1109/MCC.2017.27
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC 2012, pp. 13–16. ACM, New York (2012). https://doi.org/10.1145/2342509.2342513
Dua, R., Raja, A.R., Kakadia, D.: Virtualization vs. containerization to support PaaS. In: Proceedings of the 2014 IEEE International Conference on Cloud Engineering, IC2E 2014, Washington, DC, USA, pp. 610–614. IEEE Computer Society (2014). https://doi.org/10.1109/IC2E.2014.41
Fard, H.M., Prodan, R., Moser, G., Fahringer, T.: A bi-criteria truthful mechanism for scheduling of workflows in clouds. In: IEEE Third International Conference on Cloud Computing Technology and Science, pp. 599–605, November 2011. https://doi.org/10.1109/CloudCom.2011.92
Fard, H.M., Ristov, S., Prodan, R.: Handling the uncertainty in resource performance for executing workflow applications in clouds. In: IEEE/ACM 9th International Conference on Utility and Cloud Computing (UCC), pp. 89–98, December 2016. https://doi.org/10.1145/2996890.2996902
Felter, W., Ferreira, A., Rajamony, R., Rubio, J.: An updated performance comparison of virtual machines and linux containers. In: IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 171–172, March 2015. https://doi.org/10.1109/ISPASS.2015.7095802
Gupta, H., Dastjerdi, A.V., Ghosh, S.K., Buyya, R.: ifogsim: A toolkit for modeling and simulation of resource management techniques in internet of things, edge and fog computing environments. Softw. Pract. Exp. (SPE) 47(9), 1275–1296 (2017)
Kimovski, D., Ijaz, H., Surabh, N., Prodan, R.: Adaptive nature-inspired fog architecture. In: IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), pp. 1–8, May 2018. https://doi.org/10.1109/CFEC.2018.8358723
Masip-Bruin, X., Marín-Tordera, E., Tashakor, G., Jukan, A., Ren, G.J.: Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems. IEEE Wirel. Commun. 23(5), 120–128 (2016). https://doi.org/10.1109/MWC.2016.7721750
Morabito, R., Cozzolino, V., Ding, A.Y., Beijar, N., Ott, J.: Consolidate IoT edge computing with lightweight virtualization. IEEE Network 32(1), 102–111 (2018). https://doi.org/10.1109/MNET.2018.1700175
Pahl, C., Lee, B.: Containers and clusters for edge cloud architectures - a technology review. In: 3rd International Conference on Future Internet of Things and Cloud, pp. 379–386, August 2015. https://doi.org/10.1109/FiCloud.2015.35
Pham, X.Q., Huh, E.N.: Towards task scheduling in a cloud-fog computing system. In: 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), pp. 1–4, October 2016
Scoca, V., Aral, A., Brandic, I., Nicola, R.D., Uriarte, R.B.: Scheduling latency-sensitive applications in edge computing. In: CLOSER (2018)
Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016). https://doi.org/10.1109/JIOT.2016.2579198
Skarlat, O., Schulte, S., Borkowski, M., Leitner, P.: Resource provisioning for IoT services in the fog. In: IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA), pp. 32–39, November 2016. https://doi.org/10.1109/SOCA.2016.10
Tasiopoulos, A., Ascigil, O., Psaras, I., Toumpis, S., Pavlou, G.: Fogspot: spot pricing for application provisioning in edge/fog computing. IEEE Trans. Serv. Comput. 1 (2019). https://doi.org/10.1109/TSC.2019.2895037
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). https://doi.org/10.1109/MCC.2016.124
Yin, L., Luo, J., Luo, H.: Tasks scheduling and resource allocation in fog computing based on containers for smart manufacturing. IEEE Trans. Ind. Inf. 14(10), 4712–4721 (2018). https://doi.org/10.1109/TII.2018.2851241
Yousefpour, A., Ishigaki, G., Jue, J.P.: Fog computing: Towards minimizing delay in the internet of things. In: IEEE International Conference on Edge Computing (EDGE), pp. 17–24, June 2017. https://doi.org/10.1109/IEEE.EDGE.2017.12
Acknowledgement
This research has been funded by the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Grant Agreement No. 785907 (Human Brain Project SGA2).
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Fard, H.M., Prodan, R., Wolf, F. (2020). A Container-Driven Approach for Resource Provisioning in Edge-Fog Cloud. In: Brandic, I., Genez, T., Pietri, I., Sakellariou, R. (eds) Algorithmic Aspects of Cloud Computing. ALGOCLOUD 2019. Lecture Notes in Computer Science(), vol 12041. Springer, Cham. https://doi.org/10.1007/978-3-030-58628-7_5
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