Telemetry-summary sensitivity and list identifiability in low-utilization screening for cloud virtual machines

ZHANG Qian; SHENG Shengyu; LIU Tongna

doi:10.11959/j.issn.1000-0801.DXKX260579

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Telemetry-summary sensitivity and list identifiability in low-utilization screening for cloud virtual machines

更新时间：2026-09-14

- Telemetry-summary sensitivity and list identifiability in low-utilization screening for cloud virtual machines
- Telecommunications Science (2026)
- 作者机构：
  
  1.华北电力大学经济管理系，河北保定 071003
  2.华北电力大学电子与通信工程系，河北保定 071003
- 作者简介：
- 基金信息：
  
  The Natural Science Foundation of Hebei Province(G2024502001)
- DOI：10.11959/j.issn.1000-0801.DXKX260579
  CLC： TP393
- Received：23 August 2026，
  
  Revised：2026-09-02，
  
  Accepted：09 September 2026，
- 稿件说明：
移动端阅览
ZHANG Qian, SHENG Shengyu, LIU Tongna. Telemetry-summary sensitivity and list identifiability in low-utilization screening for cloud virtual machines[J/OL]. Telecommunications Science, 2026.
DOI：

ZHANG Qian, SHENG Shengyu, LIU Tongna. Telemetry-summary sensitivity and list identifiability in low-utilization screening for cloud virtual machines[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260579.

摘要

为评估遥测摘要口径对云虚拟机低利用率筛查及复核名单传播的影响，比较实例内平均CPU与5 min窗口最大CPU的95分位摘要向订阅、部署层级的传播差异。以Azure V2（2019）为主样本、V1（2017）为复核，计算生命周期加权积分歧义指数（IAI）、Top-10%稳定性证书和并列识别区间。2019年和2017年IAI分别为0.4227和0.3778，订阅层级46个阈值均未满足稳定条件；全支持域对照下，名单替换率分别为38.14%和34.56%。研究表明，摘要口径与阈值域饱和共同改变复核对象，固定破并列规则不能替代集合值识别；筛查结果仅供人工复核，不应直接触发关停、缩容或迁移。

Abstract

Low-utilization screening can select different cloud virtual machines when the telemetry summary changes

yet fixed tie-breaking rules may conceal that instability. The propagation of within-instance summary disagreement to subscription- and deployment-level review lists was examined. A 30-day Microsoft Azure trace from 2019 served as the primary sample

with the 2017 trace used for replication. For each instance

average central processing unit (CPU) utilization was paired with the 95th percentile of 5-min-window maximum CPU utilization. The analysis estimated a lifecycle-weighted integrated ambiguity index (IAI)

ranking-stability certificates

and exact tie-aware identification intervals for top-10% lists

with adjacent-threshold and full-support comparisons. The lifecycle-weighted IAI was 0.4227 in the 2019 trace and 0.3778 in the 2017 trace. At the subscription level

none of the 46 thresholds satisfied the sufficient stability condition. After full-support integration removed cutoff ties

the point-identified replacement rates remained 38.14% and 34.56%

respectively. Telemetry-summary choice and restricted-domain score saturation therefore jointly alter the units selected for review. Deterministic tie breaking cannot replace set-valued bounds

and screening outputs should not directly trigger shutdown

downsizing

or migration.

关键词

Keywords

references

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