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Financial Clouds and modelling offered by Cloud Computing Adoption Framework

Financial Clouds and modelling offered by Cloud Computing Adoption Framework
Financial Clouds and modelling offered by Cloud Computing Adoption Framework
Cloud Computing Adoption Framework (CCAF) is a framework for designing and implementation of Could Computing solutions. This paper focuses on how CCAF can help to address portability in Cloud Computing implementations in Finance domain. Portability involves migrating entire applications from desktops to clouds and between different Clouds in a way which is transparent to users so they may continue to work as if still using their familiar systems. Reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen to demonstrate portability between desktops and clouds. A special technique in MCM, Variance-Gamma Process, is used for error corrections while performing analysis of good quality. Coding algorithm for MCM and BSM written in MATLAB are explained. Simulations for MCM and BSM are performed on different types of Clouds. Benchmark and experimental results are presented and discussed, together with implications for banking and ways to track risks in order to improve accuracy. We have used a conceptual Financial Cloud platform to explain how this fits into the CCAF, as well as Financial Software as a Service (FSaaS). Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, while demonstrating portability for CCAF and FSaaS.
NOVA Publishers
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Chang, Victor, Walters, Robert John and Wills, Gary (2014) Financial Clouds and modelling offered by Cloud Computing Adoption Framework. In, Advances in Cloud Computing Research. NOVA Publishers.

Record type: Book Section

Abstract

Cloud Computing Adoption Framework (CCAF) is a framework for designing and implementation of Could Computing solutions. This paper focuses on how CCAF can help to address portability in Cloud Computing implementations in Finance domain. Portability involves migrating entire applications from desktops to clouds and between different Clouds in a way which is transparent to users so they may continue to work as if still using their familiar systems. Reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen to demonstrate portability between desktops and clouds. A special technique in MCM, Variance-Gamma Process, is used for error corrections while performing analysis of good quality. Coding algorithm for MCM and BSM written in MATLAB are explained. Simulations for MCM and BSM are performed on different types of Clouds. Benchmark and experimental results are presented and discussed, together with implications for banking and ways to track risks in order to improve accuracy. We have used a conceptual Financial Cloud platform to explain how this fits into the CCAF, as well as Financial Software as a Service (FSaaS). Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, while demonstrating portability for CCAF and FSaaS.

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More information

Published date: 30 March 2014
Organisations: Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 358252
URI: https://eprints.soton.ac.uk/id/eprint/358252
PURE UUID: e66cb9e9-fbdc-4edb-a920-ac58afa9942e
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 02 Oct 2013 11:00
Last modified: 29 Oct 2019 02:04

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Contributors

Author: Victor Chang
Author: Robert John Walters
Author: Gary Wills ORCID iD

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