DAG Scheduling with Communication Delays Based on Graph Convolutional Neural Network

Figure 10

With the increase of the number of processors, the scheduling lengths of the same workflow (cycles) DAG under different scheduling methods.

(a) Comparison of TLGC with conventional algorithm (HEFT) and seq2seq model

(b) Comparison of TLGC with graph neural network models (GAT, GraphSAGE)