@willaory
Heterogeneity-aware task allocation in decentralized cloud computing develops a reinforcement learning model considering node CPU/GPU ratios, memory bandwidth, and network latency. Simulations show 41% higher throughput and 29% lower failure rates compared to homogeneous allocation. The model adapts to dynamic resource availability with 92% accuracy.