Artificial Intelligence in Theory and Practice IV 4th IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2015, Held as Part of WCC 2015, Daejeon, South Korea, October 4-7, 2015
Conference papers
Rule-Based Multi-criteria Framework for SaaS Application Architecture Selection
Abstract : Software-as-a-service (SaaS) is a very successful model for providing cloud-based services over the internet. However, due to the dynamic nature of SaaS services, it becomes very challenging to ensure provision of scalability, applying frequent maintenance and functionality updates to SaaS Services. SOAP and REST are the two mostly used software architectural styles for accessing and consuming SaaS services in cloud environment and each have its distinct advantages. Therefore, to address above mentioned challenges, it is critical to choose the suitable architectural style because the success of a SaaS is strongly coupled with its architecture style. Choosing the right software architecture for a system is a multi-criteria decision making problem and it takes into consideration the architectural style characteristics, non-functional requirements and working domain requirements. In this paper, we propose a rule-based multi-criteria decision support system (DSS) for a SaaS application architecture selection. Our proposed DSS uses weighted sum model (WSM) that take into account the architectural style characteristics, non-functional and domain specific requirements.
https://hal.inria.fr/hal-01383961
Contributor : Hal Ifip <>
Submitted on : Wednesday, October 19, 2016 - 2:12:59 PM Last modification on : Thursday, March 5, 2020 - 5:40:59 PM
Falak Nawaz, Ahmad Mohsin, Syda Fatima, Naeem Janjua. Rule-Based Multi-criteria Framework for SaaS Application Architecture Selection. 4th IFIP International Conference on Artificial Intelligence in Theory and Practice (AI 2015), Oct 2015, Daejeon, South Korea. pp.129-138, ⟨10.1007/978-3-319-25261-2_12⟩. ⟨hal-01383961⟩