Beach, Thomas  ORCID: https://orcid.org/0000-0001-5610-8027, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Parashar, Manish
2013.
Cloud Computing for the Architecture, Engineering & Construction Sector: Requirements, Prototype & Experience.
Journal of Cloud Computing: Advances, Systems and Applications
2
(4)
, 8.
10.1186/2192-113X-2-8
|
Preview |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (4MB) | Preview |
Abstract
The Architecture, Engineering \& Construction (AEC) sector is a highly fragmented, data intensive, project based industry, involving a number of very different professions and organisations. Projects carried out within this sector involve collaboration between various people, using a variety of different systems. This, along with the industry's strong data sharing and processing requirements, means that the management of building data is complex and challenging. This paper presents a solution to data sharing requirements of the AEC sector by utilising Cloud Computing. Our solution presents two key contributions, first a governance model for building data, based on extensive research and industry consultation. Second, a prototype implementation of this governance model, utilising the CometCloud autonomic cloud computing engine based on the Master/Work paradigm. we have integrated our prototype with the 3D modelling software Google Sketchup. The approach and prototype presented has applicability in a number of other eScience related applications involving multi-disciplinary, collaborative working using Cloud computing infrastructure.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Schools > Computer Science & Informatics Schools > Engineering |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Publisher: | Springer |
| ISSN: | 2192-113X |
| Date of First Compliant Deposit: | 30 March 2016 |
| Last Modified: | 10 Sep 2025 21:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/45776 |
Citation Data
Cited 45 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions