Research Article

Heuristic Algorithms for MapReduce Scheduling Problem with Open-Map Task and Series-Reduce Tasks

Table 3

Experimental results for large-scale instances.

(m, n, k)GASAL-F
objTimegapobjTimegapobjTimegap

(2, 30, 3)178.7012.170.00183.9015.960.03191.500.000.07
(2, 30, 5)323.9021.530.00332.1027.280.03333.500.010.03
(2, 30, 10)683.4055.080.12696.8065.450.14611.600.010.00
(2, 50, 3)312.8021.030.05318.3027.290.02327.000.010.05
(2, 50, 5)563.2047.700.00572.8050.830.02565.400.010.00
(2, 50, 10)1204.10117.870.171193.80138.270.161029.900.010.00
(2, 100, 3)671.3051.130.02662.7064.930.01658.000.010.00
(2, 100, 5)1181.30111.440.071168.30135.790.061103.700.010.00
(2, 100, 10)2536.50376.140.212480.60435.820.182102.600.030.00
(4, 30, 3)87.8011.850.1995.1015.660.2973.700.000.00
(4, 30, 5)164.8021.720.28173.6027.710.35128.500.010.00
(4, 30, 10)368.7055.720.49378.1066.390.53247.200.010.00
(4, 50, 3)151.3021.280.31157.8027.580.37115.200.010.00
(4, 50, 5)280.6041.300.39291.9051.650.45201.500.010.00
(4, 50, 10)652.60116.990.57638.80137.930.60398.900.020.00
(4, 100, 3)338.7053.830.47333.5068.640.44231.100.010.00
(4, 100, 5)606.30116.500.47604.50141.690.47411.800.020.00
(4, 100, 10)1329.60376.390.581301.20433.620.62821.200.050.00
(6, 30, 3)62.3021.290.6468.6016.100.8137.900.010.00
(6, 30, 5)114.5022.410.77125.7028.280.9464.700.010.00
(6, 30, 10)265.6057.080.71274.7067.990.77155.300.010.00
(6, 50, 3)109.8021.160.70113.8027.390.7664.500.010.00
(6, 50, 5)198.9042.640.81207.6053.060.89109.700.010.00
(6, 50, 10)447.00118.650.94457.50139.430.99230.400.030.00
(6, 100, 3)232.8053.580.89233.6068.200.89123.400.010.00
(6, 100, 5)416.30114.810.88421.50139.360.90221.800.030.00
(6, 100, 10)923.20363.431.01907.60417.320.98458.200.060.00
Average532.5689.890.43533.16107.020.47408.080.020.01

Note. gap = .