Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.compind.2008.07.003
Title: | Replicated concurrency control for collaborative feature modelling: A fine granular approach | Authors: | Li, M. Gao, S. Fuh, J.Y.H. Zhang, Y.F. |
Keywords: | Computer-aided design Concurrency control Cooperative design Fine granularity Heterogeneous structure |
Issue Date: | Dec-2008 | Citation: | Li, M., Gao, S., Fuh, J.Y.H., Zhang, Y.F. (2008-12). Replicated concurrency control for collaborative feature modelling: A fine granular approach. Computers in Industry 59 (9) : 873-881. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compind.2008.07.003 | Abstract: | It is still an open challenge to realize a fine granular concurrency control in a cooperative design (co-design) environment in a fully replicated manner. The fine-grain concurrency control enables multiple users to manipulate well-partitioned portions of a shared product model as opposed to the entire one, where a high degree of operational parallelism is achieved to maximize concurrent collaborations in a natural modelling way. This paper proposes a feature granularity concurrency control approach for the collaborative feature modelling, which supports simultaneous design operations in replicated co-design systems. Firstly, a decentralized mutual exclusion agreement on a single object is extended to a replicated concurrency control mechanism supporting multiple mutually excluded objects. Secondly, a feature granularity concurrency control approach is devised for replicated co-design systems to ensure the consistency of replicated models after concurrent manipulations. Finally, the proposed approach is realized in a real-time co-design environment consisting of multiple heterogeneous computer-aided design (CAD) systems, which proves the feasibility of the approach in the industrial implementation. © 2008 Elsevier B.V. All rights reserved. | Source Title: | Computers in Industry | URI: | http://scholarbank.nus.edu.sg/handle/10635/61223 | ISSN: | 01663615 | DOI: | 10.1016/j.compind.2008.07.003 |
Appears in Collections: | Staff Publications |
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