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Cloud-based software services delivery from the perspective of scalability

Al-Said Ahmad, Amro; Andras, Peter

Authors

Amro Al-Said Ahmad

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Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment



Abstract

Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. There are three interconnected Cloud-based software services’ performance aspects; both elasticity and efficiency are depending on the delivery of a sufficient level of scalability performance. In this work, we focused on testing and measuring the cloud-based software services scalability from a technical perspective. This paper uses technical scalability metrics that address both volume and quality scaling, inspired by earlier technical metrics of elasticity. We demonstrate the application of the metrics using a practical example and three demand scenarios and discuss the importance of these metrics. We show how our technical scalability metrics integrated into an earlier utility-oriented metric of scalability, in order to enable the scalability analysis from technical and production-driven perspectives.

This work is related to the delivery of cloud-based software services from scalability perspective. We demonstrate our metrics by testing a cloud-based software service connecting with both AWS auto-scaling and load-balancing services. Measurements have been collected and analysis, and then been used to calculate the values of our scalability metrics.

Journal Article Type Article
Acceptance Date May 8, 2019
Online Publication Date May 15, 2019
Publication Date 2021
Deposit Date Nov 23, 2021
Journal International Journal of Parallel, Emergent and Distributed Systems
Print ISSN 1744-5760
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 36
Issue 2
Pages 53-68
DOI https://doi.org/10.1080/17445760.2019.1617864
Keywords Measurement, performanc,e testing, scalability, Software-as-a-Service (SaaS), metrics
Public URL http://researchrepository.napier.ac.uk/Output/2808747