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Cluster Computing in Drug Logistic Monitoring and Management

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Book cover Cooperative Design, Visualization, and Engineering (CDVE 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5220))

Abstract

We applied the cluster computing as a key technology for a drug logistic information system that we developed. In order to improve the dependability, scalability, and other QoS features of the server cluster, resource dynamic dispatching, task distribution, and workflow controlling were among the key issues that we focused in our development.

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References

  1. Qin, G., Li, Q.: An Information Integration Platform for Mobile Computing. In: Luo, Y. (ed.) CDVE 2006. LNCS, vol. 4101, pp. 123–131. Springer, Heidelberg (2006)

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  2. Qin, G., Li, Q., Deng, X.: Resource Sharing and Remote Utilization in Communication Servers. In: Luo, Y. (ed.) CDVE 2007. LNCS, vol. 4674, pp. 331–339. Springer, Heidelberg (2007)

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  3. Qin, G., Li, Q.: Dynamic Resource Dispatch Strategy for WebGIS Cluster Services. In: Luo, Y. (ed.) CDVE 2007. LNCS, vol. 4674, pp. 349–352. Springer, Heidelberg (2007)

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  4. Mohan, C.: Application servers: Born-Again TP monitors for the Web. In: SIGMOD. (ed). Proceedings of 2001 ACM SIGMOD International Conference on Management of Data, p. 622. ACM Press, New York (2001)

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Yuhua Luo

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© 2008 Springer-Verlag Berlin Heidelberg

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Qin, G., Li, Q., Deng, X. (2008). Cluster Computing in Drug Logistic Monitoring and Management. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2008. Lecture Notes in Computer Science, vol 5220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88011-0_45

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  • DOI: https://doi.org/10.1007/978-3-540-88011-0_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88010-3

  • Online ISBN: 978-3-540-88011-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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