Multi-Node Spot Instances Availability Score Collection System
- Authors
- Cheon, Sungkyu; Kim, Kyumin; Kim, Kyunghwan; Song, Moohyun; Lee, Kyungyong
- Issue Date
- Sep-2025
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- cloud computing; spot instance; spot instance datasets
- Citation
- HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, pp 14 - 15
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing
- Start Page
- 14
- End Page
- 15
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209116
- DOI
- 10.1145/3731545.3735122
- Abstract
- Spot instances let users access unused cloud resources at significantly reduced costs. While cloud vendors offer availability information, existing tools like Spotlake only provide single-node availability data, which falls short for modern distributed applications. This paper highlighted the limitations of single-node availability data and introduced a multi-node availability dataset collection system. We analyzed the collected data and enhanced Spotlake to share these multi-node datasets publicly for broader use. © 2025 Elsevier B.V., All rights reserved.
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