sAirflow: Adopting Serverless in a Legacy Workflow Scheduler
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69577-3_18
Reference39 articles.
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3. Kijak, J., Martyna, P., Pawlik, M., Balis, B., Malawski, M.: Challenges for scheduling scientific workflows on cloud functions. In: CLOUD, pp. 460–467 (2018)
4. Manner, J., Endress, M., Heckel, T., Wirtz, G.: Cold start influencing factors in function as a service. In: UCC Proceedings, pp. 181–188. IEEE (2018)
5. Aumala, G., Boza, E., Ortiz-Aviles, L., Totoy, G., Abad, C.: Beyond load balancing: package-aware scheduling for serverless platforms. In: Proceedings of CCGRID. IEEE (2019)
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