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English(EN) PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing

新的PLATOS策略可降低HIoT的能耗和延迟

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了PLATOS，这是一种新颖的调度策略，旨在优化雾计算环境中运行的医疗物联网（HIoT）设备的功耗和延迟。该策略将HIoT任务分为优先级、存储和计算组，以最小化执行延迟和能源消耗。iFogSim2中的模拟表明，与现有方法相比，PLATOS可将能耗降低18.72%，延迟降低8.65%，从而提高HIoT系统的效率和响应能力，以改善患者护理。 AI

影响 优化医疗物联网的资源分配，可能提高患者护理和系统效率。

排序理由 该集群包含一篇详细介绍物联网设备新调度策略的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 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PLATOS策略可降低HIoT的能耗和延迟

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该集群包含一篇详细介绍物联网设备新调度策略的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar Mukash ·

    PLATOS：一种面向医疗保健物联网的雾计算中的功耗和延迟感知任务导向调度策略

    arXiv:2609.07318v1 Announce Type: cross Abstract: Healthcare Internet of Things (HIoT) technology is revolutionising the healthcare industry by enabling real-time data collection and analysis for personalised patient care. However, the rapid expansion of HIoT technology introduce…

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