DocumentCode :
78467
Title :
Governance Model for Cloud Computing in Building Information Management
Author :
Beach, Thomas ; Rana, Omer ; Rezgui, Yacine ; Parashar, Manish
Author_Institution :
Cardiff Univ., Cardiff, UK
Volume :
8
Issue :
2
fYear :
2015
fDate :
March-April 2015
Firstpage :
314
Lastpage :
327
Abstract :
The AEC (Architecture Engineering and Construction) sector is a highly fragmented, data intensive, project based industry, involving a number or very different professions and organisations. The industry´s strong data sharing and processing requirements means that the management of building data is complex and challenging. We present a data sharing capability utilising Cloud Computing, with two key contributions: 1) a governance model for building data, based on extensive research Pand industry consultation. This governance model describes how individual data artefacts within a building information model relate to each other and how access to this data is controlled; 2) a prototype implementation of this governance model, utilising the CometCloud autonomic cloud computing engine, using the Master/Work paradigm. This prototype is able to successfully store and manage building data, provide security based on a defined policy language and demonstrate scale-out in case of increasing demand or node failure. Our prototype is evaluated both qualitatively and quantitatively. To enable this evaluation we have integrated our prototype with the 3D modelling software-Google Sketchup. We also evaluate the prototype´s performance when scaling to utilise additional nodes in the Cloud and to determine its performance in case of node failures.
Keywords :
architecture; buildings (structures); civil engineering computing; cloud computing; fault tolerant computing; information management; solid modelling; 3D modelling software; AEC sector; CometCloud autonomic cloud computing engine; Google Sketchup; architecture engineering and construction sector; building data management; building information management; cloud computing; governance model; industry data processing requirements; industry data sharing requirement; master-work paradigm; policy language; project based industry; Buildings; Cloud computing; Collaboration; Computational modeling; Data models; Solid modeling; Cloud computing; building information modelling; data management; distributed tuple space;
fLanguage :
English
Journal_Title :
Services Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1939-1374
Type :
jour
DOI :
10.1109/TSC.2013.50
Filename :
6654157
Link To Document :
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