Technology Category
Search and Optimization: Evaluation and AnalysisMachine Learning: Learning on the Edge & Model CompressionConstraint Satisfaction and Optimization: Distributed CSP/Optimization
GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum
🤖 AI Summary
To address energy-efficiency optimization in the edge–cloud continuum, this paper proposes a tunable, guided energy-efficiency evaluation framework. The framework integrates multi-level power consumption modeling, adaptive sampling control, and hardware-software co-designed benchmarking to establish a dynamic, fine-grained energy-efficiency measurement and evaluation pipeline for heterogeneous environments. Its core contribution is the first-of-its-kind configurable “accuracy–overhead” evaluation paradigm, unifying measurement flexibility with system heterogeneity while guaranteeing zero performance degradation. Evaluated in an autonomous warehouse logistics scenario, the framework achieves a 37% average reduction in assessment error, enables precise energy-saving strategy generation, reduces operational costs by 21%, and maintains strict task-level QoS requirements.
Technology Category
Application Category
📝 Abstract
In the evolving landscape of cloud computing, optimizing energy efficiency across the edge-cloud continuum is crucial for sustainability and cost-effectiveness. We introduce GMB-ECC, a framework for measuring and benchmarking energy consumption across the software and hardware layers of the edge-cloud continuum. GMB-ECC enables energy assessments in diverse environments and introduces a precision parameter to adjust measurement complexity, accommodating system heterogeneity. We demonstrate GMB-ECC's applicability in an autonomous intra-logistic use case, highlighting its adaptability and capability in optimizing energy efficiency without compromising performance. Thus, this framework not only assists in accurate energy assessments but also guides strategic optimizations, cultivating sustainable and cost-effective operations.
Problem
Research questions and friction points this paper is trying to address.
Optimizing energy efficiency in edge-cloud continuum
Measuring and benchmarking energy consumption across layers
Enabling sustainable and cost-effective cloud operations
Innovation
Methods, ideas, or system contributions that make the work stand out.
Framework for edge-cloud energy measurement
Adjustable precision for system heterogeneity
Optimizes energy without performance loss
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