An efficient load balancing strategy using modified grey wolf optimiser for cloud computing

Puntos clave

• The aim is to develop a load balancing strategy that enhances efficiency in cloud computing environments using a modified grey wolf optimiser.
• Utilized a modified grey wolf optimisation algorithm for load balancing.
• Tested the algorithm's performance in cloud computing scenarios.
• Compared results with standard load balancing techniques.
• The modified algorithm showed improved efficiency in resource allocation.
• Significant reduction in response time and resource utilization was observed.
• Enhanced system performance was achieved compared to traditional methods.