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Multi-Node Spot Instances Availability Score Collection System

Authors
Cheon, SungkyuKim, KyuminKim, KyunghwanSong, MoohyunLee, 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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