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Modelling Financial SaaS as Service Components

Modelling Financial SaaS as Service Components
Modelling Financial SaaS as Service Components
Financial applications demand better performance and accuracy in a cloud than the traditional computing platforms. Therefore, designing financial software as a service (FSaaS) requires engineering and systematic approach. This paper has designed a financial SaaS component model and a service architecture supporting required flexibility, scalability, and allowing change in environment. This paper has proposed an integrated service-oriented architecture and a SaaS component model for financial domain that provides trequired scalability, flexibility and customisation. We have also demonstrated the design and customisation of service component interfaces to the financial simulation so that it provides automatic prediction models for investors to know accurate results in buy and sale prices. Therefore, large-scaled simulations can be achieved within a matter of seconds (13.5 seconds).
Modelling Financial SaaS, Mon Carlo in MATLAB, SOA SaaS in finance
Ramachandran, Muthu
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Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Ramachandran, Muthu
2130f62e-6f28-40ea-8c81-cb0beba747c8
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4

Ramachandran, Muthu and Chang, Victor (2014) Modelling Financial SaaS as Service Components. The first international workshop on Emerging Software as a Service and Analytics, Spain. 03 - 05 Apr 2014.

Record type: Conference or Workshop Item (Paper)

Abstract

Financial applications demand better performance and accuracy in a cloud than the traditional computing platforms. Therefore, designing financial software as a service (FSaaS) requires engineering and systematic approach. This paper has designed a financial SaaS component model and a service architecture supporting required flexibility, scalability, and allowing change in environment. This paper has proposed an integrated service-oriented architecture and a SaaS component model for financial domain that provides trequired scalability, flexibility and customisation. We have also demonstrated the design and customisation of service component interfaces to the financial simulation so that it provides automatic prediction models for investors to know accurate results in buy and sale prices. Therefore, large-scaled simulations can be achieved within a matter of seconds (13.5 seconds).

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More information

Published date: 4 April 2014
Venue - Dates: The first international workshop on Emerging Software as a Service and Analytics, Spain, 2014-04-03 - 2014-04-05
Keywords: Modelling Financial SaaS, Mon Carlo in MATLAB, SOA SaaS in finance
Organisations: Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 362555
URI: https://eprints.soton.ac.uk/id/eprint/362555
PURE UUID: aba06cd6-b389-4e16-b784-90efea746599

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Date deposited: 25 Feb 2014 18:36
Last modified: 30 Sep 2019 18:57

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