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English(EN) ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration

新的自动扩缩器ADAPT使用测量的配置延迟来优化容器副本计数

研究人员开发了ADAPT,一种新颖的自校准自动扩缩器,专为容器编排系统设计。该系统使用在线EWMA估计器来动态跟踪和适应变化的冷启动持续时间,这对于主动式扩缩至关重要。通过将此测量的配置延迟输入模型预测控制器,ADAPT可以优化副本计数并旨在最大限度地减少SLA违规,在评估中表现优于现有方法。 AI

影响 通过优化资源分配,提高容器化AI工作负载的效率和可靠性。

排序理由 发布关于容器编排新自动扩缩方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的自动扩缩器ADAPT使用测量的配置延迟来优化容器副本计数

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发布关于容器编排新自动扩缩方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Himanshu Singh Baghel ·

    ADAPT:一种用于容器编排的自校准主动自动扩缩器

    Proactive autoscaling for containerized workloads depends on knowing the provisioning delay, i.e., the time between a scaling decision and the moment new capacity is ready to serve traffic. In practice, this cold-start duration can vary substantially across environments and even …