Comparison of Microservice Call Rate Predictions for Replication in the Cloud-Reference-Cited by-同舟云学术

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Comparison of Microservice Call Rate Predictions for Replication in the Cloud

Published:2023-12-04 Issue: Volume:35 Page:1-7
ISSN:
Container-title:Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
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Author:

Mehran Narges¹^ORCID,Haghighi Arman²^ORCID,Aminharati Pedram¹^ORCID,Nikolov Nikolay³^ORCID,Soylu Ahmet⁴^ORCID,Roman Dumitru⁵⁶^ORCID,Prodan Radu⁷^ORCID

Affiliation:

1. University of Klagenfurt, Klagenfurt, Austria

2. Azad University, Science and Research Branch, Tehran, Tehran, IR

3. SINTEF AS, Oslo, NO

4. OsloMet - Oslo Metropolitan University, Oslo, NO

5. SINTEF AS, Oslo, Norway

6. OsloMet - Oslo Metropolitan University, Oslo, Norway

7. University of Klagenfurt, Klagenfurt, Carinthia, Austria

Funder

European Union's grant agreements Horizon 2020 (DataCloud)

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enRichMyData

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603166.3632566

Reference33 articles.

1. IntMA: Dynamic Interaction-aware resource allocation for containerized microservices in cloud environments

2. Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum

3. Characterizing Microservice Dependency and Performance

4. Hamidreza Arkian, Guillaume Pierre, Johan Tordsson, and Erik Elmroth. Model-based stream processing auto-scaling in geo-distributed environments. In ICCCN 2021-30th International Conference on Computer Communications and Networks, 2021.

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