TY - JOUR
T1 - Cloud computing for the architecture, engineering & construction sector
T2 - Requirements, prototype & experience
AU - Beach, Thomas H.
AU - Rana, Omer F.
AU - Rezgui, Yacine Y.
AU - Parashar, Manish
N1 - Funding Information:
The research was funded by the EPSRC under contract EP/I034270/1.
PY - 2013
Y1 - 2013
N2 - 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/Worker 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.
AB - 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/Worker 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.
KW - Building information modelling
KW - Cloud computing
KW - Construction
KW - Governance
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U2 - 10.1186/2192-113X-2-8
DO - 10.1186/2192-113X-2-8
M3 - Article
AN - SCOPUS:84926426289
SN - 2192-113X
VL - 2
JO - Journal of Cloud Computing
JF - Journal of Cloud Computing
IS - 1
M1 - 8
ER -