Investigating the Cloud Computing Business Framework - modelling and benchmarking of financial assets and job submissions in clouds


Chang, Victor, Wills, Gary, De Roure, David and Chee, Clinton (2010) Investigating the Cloud Computing Business Framework - modelling and benchmarking of financial assets and job submissions in clouds. In, UK e-Science All Hands Meeting 2010 "Research Clouds: Hype or Reality?" Workshop, Cardiff, GB, 13 - 16 Sep 2010. 3pp.

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Description/Abstract

Literature identifies three business challenges in clouds: (i) little linkage between qualitative and quantitative cloud business frameworks in the same domain; (ii) few structured frameworks to measure cloud business performance and (iii) application portability from desktops to clouds, and later on between clouds offered by different vendors. To address these three problems, we propose the Cloud Computing Business Framework (CCBF), which contains Financial Cloud Framework (FCF), Middleware Framework (MF) and the other two frameworks. FCF and MF are to deal with portability issue. In FCF, we select Monte Carlo Methods (MCM) for pricing and Black Scholes Model (BSM) for risk analysis. In MF, we select OMII-UK's GridSAM 2.3 to demonstrate job submission in clouds, and compare benchmarking results with our MCM and BSM models. Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, and present how modelling, simulation and benchmarking fit into FCF and MF. Experiments are performed in public and private clouds, where portability, speed, accuracy and reliability from desktop to clouds are successfully demonstrated. Despite X.509 security can be demonstrated, the preferred security is single sign-on and will be dealt with later.

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HG Finance
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
ePrint ID: 271055
Date Deposited: 10 May 2010 18:56
Last Modified: 27 Mar 2014 20:16
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271055

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