Load balancing is the key issue for knowledge resource optimal allocation among heterogeneous platforms in cloud computing network spaced strategic alliance for knowledge integration of extra large-scale S&T (engineering) project heterogeneous organization, and its settlement mechanism will definitely influence the knowledge effectiveness, accuracy and timeliness in heterogeneous organizations, which will improve the knowledge sharing among stakeholders in heterogeneous organizations. Based on the ant colony optimization algorithm, this paper has, in combination with the knowledge characteristics and requirements in heterogeneous organizations of extra large-scale S&T (engineering) projects, constructed the load balancing mechanism of cloud computing network spaced strategic alliance for knowledge integration of extra large-scale S&T (engineering) project heterogeneous organization under complex and dynamic environment, and generally reached the balancing condition of knowledge load and the optimal allocation of knowledge resources in heterogeneous organizations, improving the effectiveness of knowledge in heterogeneous organizations.
Key words
under the complex and dynamic environment /
extra large-scale S&T (engineering) project /
heterogeneous organization /
knowledge integration /
cloud computing network spaced strategic alliance /
load balancing mechanism.
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