Cloud Computing for the Architecture, Engineering & Construction Sector: Requirements, Prototype & Experience

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

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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:	Advanced Research Computing @ Cardiff (ARCCA) Computer Science & Informatics 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 Jul 2023 16:18
URI:	https://orca.cardiff.ac.uk/id/eprint/45776

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