Artificial Intelligence-Based Framework for Scheduling Distributed Systems Using a Combination of Neural Networks and Genetic Algorithms

Table 1

Proposed method algorithm.

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Proposed method algorithm

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Input data:

F: similarity criteria features of processors;

C: similarity criteria features of clusters’ center;

N: number of processors;

T: the task with different process time;

Begin

For i = 1 to N

P = predict the end time of task in each processor's queue using neural network

D =  ;//Clustering processors in different clusters, j = 1, 2, 3//End

For i = 1 to size of max cluster members .

G = GA(P,T)

Makespan = sum (G,P)

End

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