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Distributed collaborative CAD system based on Web Service.

Ying-xiu Ouyang1, Min Tang, Jun-cheng Lin

  • 1State Key Laboratory of CAD&CG, AI Institute, Zhejiang University, Hangzhou 310027, China. oyyx_zju@sohu.com

Journal of Zhejiang University. Science
|April 15, 2004
PubMed
Summary
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This study introduces a distributed collaborative CAD system using features and XML for design. Incremental updates enhance performance, enabling effective collaborative design on diverse platforms.

Area of Science:

  • Computer-Aided Design (CAD)
  • Distributed Systems
  • Web Services

Background:

  • Traditional CAD systems often lack robust support for distributed collaborative design.
  • Integrating heterogeneous platforms in collaborative design environments presents significant challenges.
  • Efficient communication protocols are crucial for responsive distributed systems.

Purpose of the Study:

  • To present a novel Web Service-based distributed collaborative CAD system.
  • To utilize features as the core element for collaborative design operations.
  • To ensure effective collaboration across heterogeneous computing platforms.

Main Methods:

  • Developed a distributed collaborative CAD system using Web Services architecture.
  • Employed Extensible Markup Language (XML) for defining feature operations and communication protocols.

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  • Implemented incremental feature information updates on the client-side to optimize network load and responsiveness.
  • Main Results:

    • The system effectively supports collaborative design in a distributed environment.
    • Incremental updates significantly reduce network load and improve system response.
    • The prototype demonstrated successful collaboration across heterogeneous platforms.

    Conclusions:

    • The proposed Web Service-based system provides an effective solution for distributed collaborative CAD.
    • Feature-centric design and incremental updates are key to achieving efficient and responsive collaboration.
    • The system's framework and protocols are well-suited for heterogeneous collaborative design scenarios.