Optimizing cloud task scheduling and VM placement with multi-objective constraints using hybrid lemurs and gannet optimization algorithm

Key Points

• Optimized cloud task scheduling improves resource allocation and reduces latency effectively.
• The hybrid lemurs and gannet optimization algorithm achieved a 25% increase in efficiency compared to traditional methods.
• Analysis of resource management strategies considered various multi-objective constraints and their impacts.
• Results suggest potential improvements in overall cloud computing performance and operational efficiency.