Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-22691
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Rule-based resource matchmaking for composite application deployments across IoT-fog-cloud continuums
Authors: Spillner, Josef
Gkikopoulos, Panagiotis
Buzachis, Alina
Villari, Massimo
et. al: No
DOI: 10.1109/UCC48980.2020.00053
10.21256/zhaw-22691
Proceedings: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)
Page(s): 336
Pages to: 341
Conference details: CIFS @ IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), Leicester, UK (online), 7-10 December 2020
Issue Date: 30-Dec-2020
Publisher / Ed. Institution: IEEE
ISBN: 978-0-7381-2394-3
Language: English
Subjects: Cloud computing; Osmotic computing; Fog computing; Deployment; Matchmaking
Subject (DDC): 004: Computer science
Abstract: Where shall my new shiny application run? Hundreds of such questions are asked by software engineers who have many cloud services at their disposition, but increasingly also many other hosting options around managed edge devices and fog spectrums, including for functions and container hosting (FaaS/CaaS). Especially for composite applications prevalent in this field, the combinatorial deployment space is exploding. We claim that a systematic and automated approach is unavoidable in order to scale functional decomposition applications further so that each hosting facility is fully exploited. To support engineers while they transition from cloud-native to continuum-native, we provide a rule-based matchmaker called RBMM that combines several decision factors typically present in software description formats and applies rules to them. Using the MaestroNG orchestrator and OsmoticToolkit, we also contribute an integration of the matchmaker into an actual deployment environment.
URI: https://digitalcollection.zhaw.ch/handle/11475/22691
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computer Science (InIT)
Appears in collections:Publikationen School of Engineering

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Spillner, J., Gkikopoulos, P., Buzachis, A., & Villari, M. (2020). Rule-based resource matchmaking for composite application deployments across IoT-fog-cloud continuums [Conference paper]. 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 336–341. https://doi.org/10.1109/UCC48980.2020.00053
Spillner, J. et al. (2020) ‘Rule-based resource matchmaking for composite application deployments across IoT-fog-cloud continuums’, in 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). IEEE, pp. 336–341. Available at: https://doi.org/10.1109/UCC48980.2020.00053.
J. Spillner, P. Gkikopoulos, A. Buzachis, and M. Villari, “Rule-based resource matchmaking for composite application deployments across IoT-fog-cloud continuums,” in 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), Dec. 2020, pp. 336–341. doi: 10.1109/UCC48980.2020.00053.
SPILLNER, Josef, Panagiotis GKIKOPOULOS, Alina BUZACHIS und Massimo VILLARI, 2020. Rule-based resource matchmaking for composite application deployments across IoT-fog-cloud continuums. In: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). Conference paper. IEEE. 30 Dezember 2020. S. 336–341. ISBN 978-0-7381-2394-3
Spillner, Josef, Panagiotis Gkikopoulos, Alina Buzachis, and Massimo Villari. 2020. “Rule-Based Resource Matchmaking for Composite Application Deployments across IoT-Fog-Cloud Continuums.” Conference paper. In 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 336–41. IEEE. https://doi.org/10.1109/UCC48980.2020.00053.
Spillner, Josef, et al. “Rule-Based Resource Matchmaking for Composite Application Deployments across IoT-Fog-Cloud Continuums.” 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), IEEE, 2020, pp. 336–41, https://doi.org/10.1109/UCC48980.2020.00053.


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