Sustainable Computing Advances

The field of sustainable computing is rapidly evolving, with a growing focus on reducing energy consumption, water usage, and carbon emissions. Researchers are developing innovative frameworks and tools to assess and mitigate the environmental impact of computing systems. A key direction is the integration of sustainability metrics into system design and operation, enabling informed decisions about resource allocation and optimization. Another area of advancement is the development of probabilistic models to account for uncertainties in embodied carbon footprints and energy consumption. Notable papers include: CarbonClarity, which introduces a probabilistic framework for modeling embodied carbon footprints, and the Green Metrics Tool, which provides a novel framework for measuring software resource consumption. Additionally, the SCARF framework evaluates water impact of computing by factoring in spatial and temporal variations in water stress, and the Data-Driven Power Modeling approach achieves high accuracy and low overhead in power consumption assessments.

Sources

Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing

Performance Measurements in the AI-Centric Computing Continuum Systems

Data-Driven Power Modeling and Monitoring via Hardware Performance Counter Tracking

Exploring Privacy and Security as Drivers for Environmental Sustainability in Cloud-Based Office Solutions

Requirements for Active Assistance of Natural Questions in Software Architecture

Green Metrics Tool: Measuring for fun and profit

Snaps: Bloated and Outdated?

CarbonClarity: Understanding and Addressing Uncertainty in Embodied Carbon for Sustainable Computing

Sustainability Flags for the Identification of Sustainability Posts in Q&A Platforms

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