The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Empirical prediction models for adaptive resource provisioning in the cloud
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Citations
Cites
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Cited by
Data Center Energy Consumption Modeling: A Survey
Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481183 · Cited by 1,165
Elasticity in Cloud Computing: State of the Art and Research Challenges
Al-Dhuraibi, Y., Paraiso, F., Djarallah, N., & Merle, P. (2018) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2017.2711009 · Cited by 409
Autopilot: workload autoscaling at Google
Rzadca, K., Findeisen, P., Swiderski, J., Zych, P., Broniek, P., Kusmierek, J., Nowak, P., Strack, B., Witusowski, P., Hand, S., et al. (2020) · Proceedings of the Fifteenth European Conference on Computer Systems · doi:10.1145/3342195.3387524 · Cited by 303
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A load prediction model for cloud computing using PSO-based weighted wavelet support vector machine
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Metadata
- Authors
- Islam, S., Keung, J., Lee, K., & Liu, A.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 28
- Issue
- 1
- Pages
- 155-162
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2119438912
- Cited by
- 631
- References
- 18
- FWCI
- 80.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Islam, S., Keung, J., Lee, K., & Liu, A. (2012). Empirical prediction models for adaptive resource provisioning in the cloud. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2011.05.027
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
