Amro Al-Said Ahmad
Cloud-based software services delivery from the perspective of scalability
Al-Said Ahmad, Amro; Andras, Peter
Authors
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.
Citation
Al-Said Ahmad, A., & Andras, P. (2021). Cloud-based software services delivery from the perspective of scalability. International Journal of Parallel, Emergent and Distributed Systems, 36(2), 53-68. https://doi.org/10.1080/17445760.2019.1617864
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 |
Electronic ISSN | 1744-5779 |
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 |
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