Auto-scaling Algorithm Optimizes Edge Computing for Service Level Agreements
Analysis
This research explores a hybrid approach to auto-scaling in edge computing, aiming to satisfy Service Level Agreements (SLAs). The study's focus on proactive and reactive elements suggests a sophisticated response to dynamic workloads and resource constraints in edge environments.
Key Takeaways
- •Addresses the challenge of efficient resource allocation in edge computing.
- •Proposes a hybrid approach, combining reactive and proactive scaling strategies.
- •Aims to meet Service Level Agreements (SLAs) through optimized resource management.
Reference
“The research focuses on a hybrid reactive-proactive auto-scaling algorithm.”