Energy-Aware Self-Adaptive System for Cloud Applications
Research Paper#Energy Efficiency, Cloud Computing, Self-Adaptive Systems🔬 Research|Analyzed: Jan 3, 2026 18:44•
Published: Dec 29, 2025 14:35
•1 min read
•ArXivAnalysis
This paper addresses the critical issue of energy consumption in cloud applications, a growing concern. It proposes a tool (EnCoMSAS) to monitor energy usage in self-adaptive systems and evaluates its impact using the Adaptable TeaStore case study. The research is relevant because it tackles the increasing energy demands of cloud computing and offers a practical approach to improve energy efficiency in software applications. The use of a case study provides a concrete evaluation of the proposed solution.
Key Takeaways
- •Addresses the growing concern of energy consumption in cloud applications.
- •Proposes the EnCoMSAS tool for energy monitoring in self-adaptive systems.
- •Uses the Adaptable TeaStore case study for empirical evaluation.
- •Focuses on the recommender service of Adaptable TeaStore for the study.
Reference / Citation
View Original"The paper introduces the EnCoMSAS tool, which allows to gather the energy consumed by distributed software applications and enables the evaluation of energy consumption of SAS variants at runtime."