Muhammad

A resource and deadline-aware dynamic load balancing scheduler for cloud jobs

The experimental results demonstrate that DBS consistently outperforms state-of-the-art algorithms in terms of multiple performance metrics and confirm that the proposed scheduler effectively enhances deadline compliance, workload balance, scalability, and overall cloud system performance under heterogeneous and high-load conditions.