The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Autopilot: workload autoscaling at Google
Open accessAbstract
In many public and private Cloud systems, users need to specify a limit for the amount of resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits might be throttled or killed, resulting in delaying or dropping end-user requests, so human operators naturally err on the side of caution and request a larger limit than the job needs. At scale, this results in massive aggregate resource wastage.
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Citations
Cites
Towards A Rigorous Science of Interpretable Machine Learning
Doshi-Velez, F., & Kim, B. (2017) · arXiv · doi:10.48550/arxiv.1702.08608 · Cited by 3,121
MapReduce: Simplified Data Processing on Large Cluster
Senior Software Developer, A. U., & Dayalan, M. (2018) · International Journal of Research and Engineering · doi:10.21276/ijre.2018.5.5.4 · Cited by 2,948
Apache Hadoop YARN: yet another resource negotiator
Vavilapalli, V. K., Murthy, A. C., Douglas, C., Agarwal, S., Konar, M., Evans, R., Graves, T., Lowe, J., Shah, H., Seth, S., et al. (2013) · Proceedings of the 4th annual Symposium on Cloud Computing · doi:10.1145/2523616.2523633 · Cited by 1,848
SLURM: Simple Linux Utility for Resource Management
Yoo, A. B., Jette, M. A., & Grondona, M. (2003) · Lecture Notes in Computer Science · doi:10.1007/10968987_3 · Cited by 1,535
Large-scale cluster management at Google with Borg
Verma, A., Pedrosa, L., Korupolu, M., Oppenheimer, D., Tune, E., & Wilkes, J. (2015) · Proceedings of the Tenth European Conference on Computer Systems · doi:10.1145/2741948.2741964 · Cited by 1,468 · cited 3×
“Borg [34], Omega [29] and Kubernetes [3] all require their users to set such limits when submitting jobs (Borg, Omega) or pods (Kubernetes).”
BackgroundMethodSelf-citationHeterogeneity and dynamicity of clouds at scale: Google trace analysis
Reiss, C., Tumanov, A., Ganger, G. R., Katz, R. H., & Kozuch, M. A. (2012) · Proceedings of the Third ACM Symposium on Cloud Computing · doi:10.1145/2391229.2391236 · Cited by 1,063
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
Lorido-Botran, T., Miguel-Alonso, J., & Lozano, J. A. (2014) · Journal of Grid Computing · doi:10.1007/s10723-014-9314-7 · Cited by 701
Omega: flexible, scalable schedulers for large compute clusters
Schwarzkopf, M., Konwinski, A., Abd-El-Malek, M., & Wilkes, J. (2013) · Proceedings of the 8th ACM European Conference on Computer Systems · doi:10.1145/2465351.2465386 · Cited by 650
Self-citationEmpirical prediction models for adaptive resource provisioning in the cloud
Islam, S., Keung, J., Lee, K., & Liu, A. (2012) · Future Generation Computer Systems · doi:10.1016/j.future.2011.05.027 · Cited by 631
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting
Roy, N., Dubey, A., & Gokhale, A. (2011) · 2011 IEEE 4th International Conference on Cloud Computing · doi:10.1109/cloud.2011.42 · Cited by 591
Cited by
Tirmazi, M., Barker, A., Deng, N., Haque, M. E., Qin, Z. G., Hand, S., Harchol-Balter, M., & Wilkes, J. (2020) · Proceedings of the Fifteenth European Conference on Computer Systems · doi:10.1145/3342195.3387517 · Cited by 325
Self-citationA Survey of Autoscaling in Kubernetes
Tran, M.-N., Vu, D.-D., & Kim, Y. (2022) · 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) · doi:10.1109/icufn55119.2022.9829572 · Cited by 51
Metadata
- Authors
- Rzadca, K., Findeisen, P., Swiderski, J., Zych, P., Broniek, P., Kusmierek, J., Nowak, P., Strack, B., Witusowski, P., Hand, S., & Wilkes, J.
- Venue
- Proceedings of the Fifteenth European Conference on Computer Systems
- Publisher
- ACM
- Published
- 2020-04-15
- Pages
- 1-16
- OpenAlex
- W3023238978
- Cited by
- 303
- References
- 32
- FWCI
- 26.59
- Type
- conference paper
- Language
- en
- Open access
- gold
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- The paper
- Rzadca, K., Findeisen, P., Swiderski, J., Zych, P., Broniek, P., Kusmierek, J., Nowak, P., Strack, B., Witusowski, P., Hand, S., & Wilkes, J. (2020). Autopilot: workload autoscaling at Google. Proceedings of the Fifteenth European Conference on Computer Systems. https://doi.org/10.1145/3342195.3387524
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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.
