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Performance analysis of multi-institutional data sharing in the Clouds4Coordination system

Petri, Ioan, Rana, Omer Farooq, Beach, Thomas and Rezgui, Yacine 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
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Engineering
Publisher: Elsevier
ISSN: 0045-7906
Funders: EPSRC
Last Modified: 07 Sep 2017 05:57
URI: http://orca-mwe.cf.ac.uk/id/eprint/98620

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