A Multi-Server Information-Sharing Environment for Cross-Party Collaboration on A Private Cloud
Jianping Zhang, Qiang Liu, Zhenzhong Hu, Jiarui Lin, Fangqiang Yu

TL;DR
This paper introduces a multi-server, private cloud-based information-sharing system for cross-party collaboration in building information modeling, addressing organizational data ownership and privacy concerns while ensuring data consistency and interoperability.
Contribution
It proposes a novel multi-server approach with a global controller to manage data ownership, privacy, and consistency in distributed BIM environments for cross-party collaboration.
Findings
Feasible for maintaining data ownership and privacy.
Supports cross-party data sharing and collaboration.
Avoids legal issues related to data copyrights.
Abstract
Interoperability remains the key problem in multi-discipline collaboration based on building information modeling (BIM). Although various methods have been proposed to solve the technical issues of interoperability, such as data sharing and data consistency; organizational issues, including data ownership and data privacy, remain unresolved to date. These organizational issues prevent different stakeholders from sharing their data due to concerns regarding losing control of the data. This study proposes a multi-server information-sharing approach on a private cloud after analyzing the requirements for cross-party collaboration to address the aforementioned issues and prepare for massive data handling in the near future. This approach adopts a global controller to track the location, ownership and privacy of the data, which are stored in different servers that are controlled by different…
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