Maximizing Cloud Resource Utility: Region-Adaptive Optimization via Machine Learning-Informed Spot Price Predictions
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3242-5_30
Reference15 articles.
1. Katayama D, Kasai K, Koita T (2022) Migration destination selection algorithm for spot instances using SPS. In: IEEE international conference on big data (Big Data). Osaka, Japan, pp 6690–6692. https://doi.org/10.1109/BigData55660.2022.10020520
2. Lee K, Son M (2017) DeepSpotCloud: leveraging cross-region GPU spot instances for deep learning. In: IEEE 10th International conference on cloud computing (CLOUD). Honololu, HI, USA, pp 98–105. https://doi.org/10.1109/CLOUD.2017.21
3. Ekwe-Ekwe N, Barker A (2018) Location, location, location: exploring Amazon EC2Spot instance pricing across geographical regions. In: 18th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGRID). Washington, DC, USA, pp 370–373. https://doi.org/10.1109/CCGRID.2018.00059
4. George G, Wolski R, Krintz C, Brevik J (2019) Analyzing AWS spot instance pricing. In: IEEE international conference on cloud engineering (IC2E). Prague, Czech Republic, pp 222–228. https://doi.org/10.1109/IC2E.2019.00036
5. Sanad AJ, Hammad M (2019) Reducing cloud provisioning cost using spot instances hopping. In: International conference on innovation and intelligence for informatics, computing, and technologies (3ICT). Sakhier, Bahrain, pp 1–6. https://doi.org/10.1109/3ICT.2019.8910325
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