Research Article

Decision Scheduling for Cloud Computing Tasks Relying on Solving Large Linear Systems of Equations

Table 2

Experimental data of Gauss elimination method.

Number of parallel nodesDense matrix scale10022002500260029002

Total time0.0530.08170.00930.11040.0523
Communication time0.05760.09940.09350.0990.0254
1Parallel computing time0.04460.00640.03440.11060.0059
Speedup ratio
Parallel efficiency
Total time0.11280.08840.05340.05540.0488
Communication time0.07770.01550.09550.11210.0932
2Parallel computing time0.05740.00690.09280.10620.0052
Speedup ratio0.670.530.310.850.85
Parallel efficiency0.330.920.990.390.49
Total time0.10690.09320.06170.05010.0181
Communication time0.09880.00450.08730.00560.044
4Parallel computing time0.01010.08680.04390.03280.0838
Speedup ratio1.120.90.880.980.68
Parallel efficiency0.41.190.510.30.64