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Multi-Node Spot Instances Availability Score Collection System
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cheon, Sungkyu | - |
| dc.contributor.author | Kim, Kyumin | - |
| dc.contributor.author | Kim, Kyunghwan | - |
| dc.contributor.author | Song, Moohyun | - |
| dc.contributor.author | Lee, Kyungyong | - |
| dc.date.accessioned | 2025-11-13T01:30:23Z | - |
| dc.date.available | 2025-11-13T01:30:23Z | - |
| dc.date.issued | 2025-09 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209116 | - |
| dc.description.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. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Association for Computing Machinery, Inc | - |
| dc.title | Multi-Node Spot Instances Availability Score Collection System | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1145/3731545.3735122 | - |
| dc.identifier.scopusid | 2-s2.0-105017954027 | - |
| dc.identifier.wosid | 001591519400035 | - |
| dc.identifier.bibliographicCitation | HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, pp 14 - 15 | - |
| dc.citation.title | HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing | - |
| dc.citation.startPage | 14 | - |
| dc.citation.endPage | 15 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
| dc.subject.keywordPlus | Cloud Vendor | - |
| dc.subject.keywordPlus | Cloud-computing | - |
| dc.subject.keywordPlus | Collection systems | - |
| dc.subject.keywordPlus | Multi-nodes | - |
| dc.subject.keywordPlus | Node availability | - |
| dc.subject.keywordPlus | Reduced cost | - |
| dc.subject.keywordPlus | Spot instance dataset | - |
| dc.subject.keywordPlus | Spot instances | - |
| dc.subject.keywordPlus | Users access | - |
| dc.subject.keywordAuthor | cloud computing | - |
| dc.subject.keywordAuthor | spot instance | - |
| dc.subject.keywordAuthor | spot instance datasets | - |
| dc.identifier.url | https://dl.acm.org/doi/10.1145/3731545.3735122 | - |
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- Lee, Kyungyong
- COLLEGE OF ENGINEERING (DEPARTMENT OF INTELLIGENCE COMPUTING)