Cloud application architecture appraiser (CA3): A multicriteria approach and tool for assessing cloud deployment options based on nonfunctional requirements. (5th October 2018)

• Record Type: Journal Article
• Authors: Gonçalves Junior, Ronaldo; Sampaio, Americo; Rolim, Tiago; Mendonça, Nabor C.
• Is Part Of: Software, practice & experience. Volume 48:Number 12(2018)
• Page Start: 2278
• Page End: 2301
• Publication Date: 2018-10-05
• Subjects: AHP -- architectural assessment -- cloud deployment option -- multicriteria optimization; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2644
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: Cloud computing is an emerging computing paradigm that is changing software engineering. It offers scalable virtual compute resources at low prices, thus attracting many software developers interested in reducing their infrastructure and operational costs. Even though acquiring and using cloud solutions can be simple, a common difficulty developers face is how to best configure their applications at the architectural level, given a myriad of cloud services and resource types available, specially when considering different attributes such as cost, scalability, and performance. An inappropriate architectural decision can lead to a significant cost increase or a deployment option that does not meet the minimum required performance. This paper focuses on the problem of finding the best cloud deployment options for a given application that meet a given set of well‐known nonfunctional requirements. To address this problem, the paper presents Cloud Application Architecture Appraiser (CA3), a multicriteria optimization approach and tool that relies on nonfunctional requirements as key drivers for assessing and selecting the best architectural options for deploying applications in the cloud. Results from the assessment of a real web application (WordPress), deployed using several different architectural options in a popular cloud provider (Amazon), are also presented to illustrate the use and benefits of the proposed method and tool.