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A Concurrency Integrity Model for Distributed Product Data Management.

机译:分布式产品数据管理的并发完整性模型。

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摘要

A product data management (PDM) system is implemented to control the distribution and maintain the integrity of the product data throughout its entire life cycle. Multiple accesses to the system residing on multiple sites will cause concurrency problems. It is crucial that concurrency control must be provided to protect the data against a variety of possible threats, in particular, data inconsistencies must be avoided and relationships between data must be maintained. In particular, the current PDM technology is not completely suitable for PDM in distributed manufacturing environment. Thus, this research aims to develop a foundation in concurrent engineering support for distributed product data management (DPDM).;Given that the traditional concurrency control methods were not purposely developed to meet the need of DPDM, the requirements for data storage and manipulation for DPDM systems are not well supported. Therefore, a concurrent control method that caters for version management and product architecture in DPDM is proposed. This research demonstrates how granularity and versioning are incorporated into a lock-based concurrency control model. The concurrent accessibility of an example product data is explained to illustrate the adjustability according to the actions taken by the users and the architecture of the corresponding data object.;To validate the performance of the proposed methods, the strict two-phase locking (2PL) method, the two-phase granularity version (GV) locking method, the 2PL transaction scheduling method, and the hybrid GV transaction scheduling method are evaluated through simulation experiments. Read and Write accesses to composite objects are used to illustrate the comparisons between the models. Their performances are evaluated by comparing the number of late transactions. It shows that the GV locking model and the transaction scheduling model are better than the strict PL method while the hybrid model can substantially improve the concurrency of DPDM system.
机译:实施了产品数据管理(PDM)系统,以控制产品数据在整个生命周期中的分布并保持其完整性。对驻留在多个站点上的系统的多次访问将导致并发问题。至关重要的是必须提供并发控制以保护数据免受各种可能的威胁,特别是必须避免数据不一致,并且必须维护数据之间的关系。特别是,当前的PDM技术并不完全适用于分布式制造环境中的PDM。因此,本研究旨在为分布式产品数据管理(DPDM)的并发工程支持奠定基础。;鉴于传统的并发控制方法并不是专门为满足DPDM的需求而开发的,因此对于DPDM的数据存储和操作要求系统没有很好的支持。因此,提出了一种针对DPDM中版本管理和产品架构的并发控制方法。这项研究演示了如何将粒度和版本控制合并到基于锁的并发控制模型中。解释了示例产品数据的并发可访问性,以说明根据用户采取的措施和相应数据对象的体系结构的可调整性。为了验证所提出方法的性能,严格的两阶段锁定(2PL)通过仿真实验评估了该方法,两阶段粒度版本(GV)锁定方法,2PL事务调度方法和混合GV事务调度方法。对复合对象的读和写访问用于说明模型之间的比较。通过比较延迟交易的数量来评估其性能。结果表明,GV锁定模型和事务调度模型优于严格的PL方法,而混合模型则可以显着提高DPDM系统的并发性。

著录项

  • 作者

    Chan, Edmond Cheuk Kit.;

  • 作者单位

    Hong Kong Polytechnic University (Hong Kong).;

  • 授予单位 Hong Kong Polytechnic University (Hong Kong).;
  • 学科 Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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