Dynamic member service selection method based on threshold in service combination
A technology for service composition and service selection, applied in the field of service computing, which can solve problems such as low response time and limiting the number of services provided.
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[0060] according to Figure 1-Figure 2 Embodiments of the present invention are configured. In the present invention, the computer is a CPU above Pentium 2, a hard disk above 10G, and an ordinary desktop microcomputer with general computing capability.
[0061] use figure 2 The combined service shown is used as the experimental object (specific service quantity N=200), the information heuristic factor α=1 in the state transition rule, the expected heuristic factor β=2, and the information volatility coefficient in the pheromone update rule is R=0.1, Maximum number of cycles N s max = 10 , Tr=0.6, C=300, Ti=100, Q 0 = 0.95.
[0062] On the experimental data, in addition to specific services {0, 100, 110, 50, 60, 70, 80, 120, 130, 150, 140, 180}, set a set of optimal parameters (namely service trust, cost and response time An order of magnitude smaller than the randomly ...
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