Abstract
This paper presents a novel generalized particle model (GPM) for the parallel optimization of enterprise computing. Since enterprise computing always involves the resource allocation, task assignment, and behavior coordination, without loss of generality, the proposed GPM is devoted to the optimization of enterprise computing in the context of the resource allocation and task assignment in complex environment. GPM transforms the optimization of enterprise computing into the kinematics and dynamics of massive particles in a force-field. The GPM approach has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree personality, and the ability to handle complex factors. Simulations have shown the effectiveness and suitability of the proposed GPM approach to optimize the enterprise computing.
This work was supported by the National Natural Science Foundation of China under Grant No. 60473044, No. 60575040 and No. 60135010.
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© 2006 International Federation for Information Processing
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Shuai, D., Shuai, Q., Liu, Y., Huang, L. (2006). Particle Model to Optimize Enterprise Computing. In: Tjoa, A.M., Xu, L., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems. IFIP International Federation for Information Processing, vol 205. Springer, Boston, MA. https://doi.org/10.1007/0-387-34456-X_11
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DOI: https://doi.org/10.1007/0-387-34456-X_11
Publisher Name: Springer, Boston, MA
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