Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum-Reference-Cited by-同舟云学术

Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum

Published:2024 Issue: Volume: Page:254-263
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:en
Short-container-title:

Author:

Esposito Antonio,Aversa Rocco,Barbierato Enrico,Calzarossa Maria Carla,Di Martino Beniamino,Massari Luisa,Mongiardo Ivan Giuseppe,Tessera Daniele,Venticinque Salvatore,Zanussi Luca,Zieni Rasha

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-57931-8_25

Reference20 articles.

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2. Anwar, N., Deng, H.: Elastic scheduling of scientific workflows under deadline constraints in cloud computing environments. Future Internet 10(1), 5 (2018)

3. Ashley-Rollman, M.P., Goldstein, S.C., Lee, P., Mowry, T.C., Pillai, P.: Meld: a declarative approach to programming ensembles. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2794–2800. IEEE (2007)

4. Calzarossa, M.C., Della Vedova, M.L., Massari, L., Nebbione, G., Tessera, D.: Multi-objective optimization of deadline and budget-aware workflow scheduling in uncertain clouds. IEEE Access 9, 89891–89905 (2021)

5. Calzarossa, M.C., Della Vedova, M.L., Tessera, D.: A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty. Futur. Gener. Comput. Syst. 93, 212–223 (2019)

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1. Workflow Scheduling in the Cloud-Edge Continuum;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Performance Evaluation of Placement Policies for Cloud-Edge Applications;Lecture Notes on Data Engineering and Communications Technologies;2024