Research Paper#Edge Computing, Resource Management, Containerization, Optimization🔬 ResearchAnalyzed: Jan 3, 2026 18:23
Edge Performance Optimization with Container Management
Published:Dec 30, 2025 02:59
•1 min read
•ArXiv
Analysis
This paper addresses the critical challenge of resource management in edge computing, where heterogeneous tasks and limited resources demand efficient orchestration. The proposed framework leverages a measurement-driven approach to model performance, enabling optimization of latency and power consumption. The use of a mixed-integer nonlinear programming (MINLP) problem and its decomposition into tractable subproblems demonstrates a sophisticated approach to a complex problem. The results, showing significant improvements in latency and energy efficiency, highlight the practical value of the proposed solution for dynamic edge environments.
Key Takeaways
- •Proposes a container-based resource management framework for edge computing.
- •Uses a measurement-driven approach to model the relationship between resource allocation and performance.
- •Formulates and solves a mixed-integer nonlinear programming (MINLP) problem for optimization.
- •Achieves significant improvements in latency and energy efficiency compared to baselines.
Reference
“CRMS reduces latency by over 14% and improves energy efficiency compared with heuristic and search-based baselines.”