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| Main Authors: | , , , , |
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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19064048 |
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| _version_ | 1866901137360158720 |
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| author | shengyi, wang xiaoyong, tian jianwei, fu shunzhang, liu xiaowei, du |
| author_facet | shengyi, wang xiaoyong, tian jianwei, fu shunzhang, liu xiaowei, du |
| contents | <p>This dataset characterizes the relationship among service latency, concurrency, and resource allocation under elastic scaling conditions. It is generated under a fixed total resource constraint, where increasing replicas leads to reduced per-replica resources, while varying concurrency introduces realistic workload pressure. The dataset enables modeling and analysis of latency behavior under resource–replica tradeoffs and concurrency-aware scaling scenarios.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19064048 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset of Service Latency, Concurrency, and Resource Elastic Scaling shengyi, wang xiaoyong, tian jianwei, fu shunzhang, liu xiaowei, du <p>This dataset characterizes the relationship among service latency, concurrency, and resource allocation under elastic scaling conditions. It is generated under a fixed total resource constraint, where increasing replicas leads to reduced per-replica resources, while varying concurrency introduces realistic workload pressure. The dataset enables modeling and analysis of latency behavior under resource–replica tradeoffs and concurrency-aware scaling scenarios.</p> |
| title | Dataset of Service Latency, Concurrency, and Resource Elastic Scaling |
| url | https://doi.org/10.5281/zenodo.19064048 |