Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646, Beach, Thomas ORCID: https://orcid.org/0000-0001-5610-8027 and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 2017. Performance analysis of multi-institutional data sharing in the Clouds4Coordination system. Computers & Electrical Engineering 58 , pp. 227-240. 10.1016/j.compeleceng.2017.02.015 |
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Abstract
Cloud computing is used extensively in Architecture/ Engineering/ Construction projects for storing data and running simulations on building models (e.g. energy efficiency/environmental impact). With the emergence of multi-Clouds it has become possible to link such systems and create a distributed cloud environment. A multi-Cloud environment enables each organisation involved in a collaborative project to maintain its own computational infrastructure/ system (with the associated data), and not have to migrate to a single cloud environment. Such infrastructure becomes efficacious when multiple individuals and organisations work collaboratively, enabling each individual/ organisation to select a computational infrastructure that most closely matches its requirements. We describe the “Clouds-for-Coordination” system, and provide a use case to demonstrate how such a system can be used in practice. A performance analysis is carried out to demonstrate how effective such a multi-Cloud system can be, reporting “aggregated-time-to-complete” metric over a number of different scenarios.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Computer Science & Informatics Engineering |
Publisher: | Elsevier |
ISSN: | 0045-7906 |
Funders: | EPSRC |
Date of First Compliant Deposit: | 24 April 2017 |
Date of Acceptance: | 13 February 2017 |
Last Modified: | 10 Nov 2023 08:26 |
URI: | https://orca.cardiff.ac.uk/id/eprint/98620 |
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