Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum
Author:
Affiliation:
1. Department of Mathematics and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina, Messina, Italy
2. Inria, Nantes, France
3. University of Utah, Salt Lake City, US
Funder
Horizon Europe NEUROKIT2E
Horizon Europe TEMA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603166.3632125
Reference44 articles.
1. Altintas, I., Perez, I., Mishin, D., Trouillaud, A., Irving, C., Graham, J., Tatineni, M., DeFanti, T., Strande, S., Smarr, L., et al. Towards a dynamic composability approach for using heterogeneous systems in remote sensing. In 2022 IEEE 18th International Conference on e-Science (e-Science) (2022), IEEE, pp. 336--345.
2. Aslanpour, M. S., Toosi, A. N., Cheema, M. A., and Gaire, R. Energy-aware resource scheduling for serverless edge computing. In 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2022), pp. 190--199.
3. Towards a Methodology for Building Dynamic Urgent Applications on Continuum Computing Platforms
4. Balouek-Thomert, D., Perez, I., Faulstich, S. D., Holmes, H. A., Altintas, I., and Parashar, M. Keynote talk: Leveraging the edge-cloud continuum to manage the impact of wildfires on air quality. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2023), IEEE, pp. 27--31.
5. Harnessing the computing continuum for urgent science;Balouek-Thomert D.;SIGMETRICS Perform. Eval. Rev.
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