A. Rengarajan

Hybrid Attention Vision Transformer Framework for Cost Efficient Cloud Resource Allocation and Load Balancing

This paper aims to develop FairViT-ShrikeNet , which is a hybrid system that combines attention motivated deep reinforcement learning, Vision Transformer workload encoding, and Shrike metaheuristic optimization to realise fairness sensitive and cost effective resource allocation in cloud computing systems. The approach...