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An Efficient Hierarchical Comparison Mechanism for Cloud-Based Heterogeneous Product Lifecycle Management Systems

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10039))

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Abstract

Cloud computing has enabled various product lifecycle management (PLM) systems from different parts venders to form a heterogeneous system to facilitate joint product development. To avoid the performance issue caused by traversal multiple different PLM systems in hierarchical comparison, in this research we have developed an efficient hierarchical comparison mechanism for cloud-based heterogeneous PLM systems. We have used this mechanism to convert the traditional hierarchical comparison by traversal through the tree type data structure into a string comparison. Our approach is very simple but scalable, and also very suited to the cloud-based heterogeneous PLM system because the method itself is independent to the details of data stores. Therefore we have offered an efficient solution for a specific interoperability problem in cloud-based heterogeneous product lifecycle management systems.

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Authors and Affiliations

  1. Colorado Technical University, Colorado Springs, CO, USA

    Mikayla Cohen & Yanzhen Qu

Authors
  1. Mikayla Cohen
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  2. Yanzhen Qu
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Corresponding author

Correspondence to Yanzhen Qu .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Cohen, M., Qu, Y. (2016). An Efficient Hierarchical Comparison Mechanism for Cloud-Based Heterogeneous Product Lifecycle Management Systems. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-48671-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48670-3

  • Online ISBN: 978-3-319-48671-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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