Active Inference for Sustainable Computing Continuum Systems

doi:10.1109/MIC.2025.3590621

2026-01-01

PRE

Juan Luis Herrera *

Boris Sedlak

Schahram Dustdar

DOI：10.1109/MIC.2025.3590621

原文链接

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摘要

En 中文

计算连续体（CC）有望提升分布式应用的服务质量。然而，为实施CC而在现有云数据中心添加更多设备会增加该范式的能源相关CO2排放。可持续性要求通过CC智能管理应用，同时考虑能源消耗和能源来源的碳强度。此外，鉴于CC提供商控制设备和网络，他们应执行此管理。本研究概述了在CC中实现可持续性及其相关挑战，提出了一种利用主动推理来学习、管理和重新配置系统的架构，以在满足应用服务级别目标的同时实现低碳足迹。

Keyword:

Performance evaluation

Industries

Cloud computing

Privacy

Quality of service

Pressing

Software

Sustainable development

Observability

Carbon footprint

期刊

IEEE Internet Computing

IF:

4.4

论文数:

2.0K

被引数:

2.0K

机构

Technische Universitat Wien

学者数:

1.3W

论文数: 1.1W

被引数: 21

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