| Due to the large amount of remote sensing image data,multi user concurrent requests caused by server load increase,resulting in cluster load imbalance,system performance is not stable,and the efficiency of remote sensing image transmission is gradually reduced.The strategy uses an improved ant colony optimization(IACO)algorithm,by introducing a line waiting factor,the dynamic selection of the current optimal transmission line,so as to improve the transmission efficiency.Comparative experiments are performed to test the IACO,ACO,Max-min and Min-Min and random algorithm,IACO algorithm in the client's task completed time and server execution time with other algorithms compared are the least and with the increase of the number of tasks,the effect is more obvious;at the same time line algorithm IACO resources utilization rate is the highest.Simulation results show that the server cluster is divided into block scheduling strategy and improved ant colony algorithm are combined,make server cluster load more balanced,enable remote sensing image transmission speed and resource use efficiency were improved. |
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