混合边缘云可显著降低智能系统能耗与成本，最高省电75%、省钱超80%。
Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads
- 将计算任务分流至边缘与云端协同处理，缓解中心云瓶颈
- 在传统与智能代理工作负载下，最多节能75%、降本超80%
- 适合需高能效的物联网、AI Agent和自动驾驶等场景
本文研究集中式云系统中的工作负载分布问题，表明混合边缘云（HEC）[1] 可有效缓解此类低效。云环境中的工作负载常呈帕累托分布，少数任务占用大量资源，导致瓶颈与能源浪费。通过分析反映典型物联网与智能设备使用的传统工作负载，以及由AI代理、机器人和自主系统产生的智能代理工作负载，本研究量化了HEC带来的能效与成本优势。结果表明，即使在资源密集型智能代理场景下，HEC仍可实现最高75%的能源节省和超过80%的成本降低。这凸显了HEC在支撑下一代智能系统可扩展、低成本、可持续计算中的关键作用。
原文摘要 · Abstract (English)
This paper examines the workload distribution challenges in centralized cloud systems and demonstrates how Hybrid Edge Cloud (HEC) [1] mitigates these inefficiencies. Workloads in cloud environments often follow a Pareto distribution, where a small percentage of tasks consume most resources, leading to bottlenecks and energy inefficiencies. By analyzing both traditional workloads reflective of typical IoT and smart device usage and agentic workloads, such as those generated by AI agents, robotics, and autonomous systems, this study quantifies the energy and cost savings enabled by HEC. Our findings reveal that HEC achieves energy savings of up to 75% and cost reductions exceeding 80%, even in resource-intensive agentic scenarios. These results highlight the critical role of HEC in enabling scalable, cost-effective, and sustainable computing for the next generation of intelligent systems.
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