Energy-Efficient Resource Allocation in Edge-Integrated Cloud Infrastructures
Keywords:
Edge Computing, Cloud Infrastructure, Energy Efficiency, Resource Allocation, SLA, Green ComputingAbstract
As demand for low-latency and high-performance computing increases, edge-integrated cloud infrastructures have emerged as a hybrid solution to meet the needs of diverse applications, from IoT to AI workloads. However, ensuring energy efficiency while maintaining performance in such distributed environments remains a significant challenge. This paper investigates techniques for resource allocation that optimize energy consumption while preserving service-level agreements (SLAs). We analyze existing approaches, propose architectural considerations, and explore energy-saving strategies that balance edge-cloud workload distribution
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