The Community for Technology Leaders
RSS Icon
Subscribe
pp: 1
Thomas Beach , Cardiff University, Cardiff
Omer Rana , Cardiff University, Cardiff
Yacine Rezgui , Cardiff University, Cardiff
Manish Parashar , Rutgers University, Piscataway
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. This, along with the industry's strong data sharing and processing requirements, means that the management of building data is complex and challenging. We presents a solution to data sharing requirements of the construction sector by utilising Cloud Computing. Our solution presents two key contributions: (i) a governance model for building data, based on extensive research and industry consultation; (ii) 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 and demonstrated using Google Sketchup. We evaluate our prototype in order to verify its performance when scaling to utilise additional nodes in the cloud and to determine its performance in case of node failures.
INDEX TERMS
Services Delivery Operation, Services Architectures, General, Principles of Services, Services Computing, Services Management, Services Lifecycle, Distributed systems, Data/Information, Key Factors in Services Lifecycle, Service-Oriented Architecture, Software As Services, Case Studies
CITATION
Thomas Beach, Omer Rana, Yacine Rezgui, Manish Parashar, "Governance Model for Cloud Computing in Building Information Management", IEEE Transactions on Services Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TSC.2013.50
31 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool