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

Investigating the Cloud Computing Business Framework - modelling and benchmarking of financial assets and job submissions in clouds
Investigating the Cloud Computing Business Framework - modelling and benchmarking of financial assets and job submissions in clouds
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.
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Chee, Clinton
c314864b-a5bf-470d-97a3-8de36357465e
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Chee, Clinton
c314864b-a5bf-470d-97a3-8de36357465e

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. UK e-Science All Hands Meeting 2010 "Research Clouds: Hype or Reality?" Workshop, Cardiff, United Kingdom. 13 - 16 Sep 2010. 3 pp .

Record type: Conference or Workshop Item (Paper)

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.

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FCF_MF_asset_modelling_job_submission_AHM2010_final.pdf - Version of Record
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More information

Published date: 15 September 2010
Venue - Dates: UK e-Science All Hands Meeting 2010 "Research Clouds: Hype or Reality?" Workshop, Cardiff, United Kingdom, 2010-09-13 - 2010-09-16
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 271055
URI: http://eprints.soton.ac.uk/id/eprint/271055
PURE UUID: 3458ade7-931e-4ef3-8664-2dbf0aa9181e
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 10 May 2010 18:56
Last modified: 15 Mar 2024 02:51

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Contributors

Author: Victor Chang
Author: Gary Wills ORCID iD
Author: David De Roure ORCID iD
Author: Clinton Chee

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