Al-Said Ahmad, A and Andras, P ORCID: https://orcid.org/0000-0002-9321-3296 (2019) Scalability Analysis Comparisons of Cloud-based Software Services. Journal of Cloud Computing: Advances, Systems and Applications, 8.

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Abstract

Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software services’ performance requirements. In this work, we use a technical measurement of the scalability of cloud-based software services. Our technical scalability metrics are inspired by metrics of elasticity. We used two cloud-based systems to demonstrate the usefulness of our metrics and compare their scalability performance in two cloud platforms: Amazon EC2 and Microsoft Azure. Our experimental analysis considers three sets of comparisons: first we compare the same cloud-based software service hosted on two different public cloud platforms; second we compare two different cloud-based software services hosted on the same cloud platform; finally, we compare between the same cloud-based software service hosted on the same cloud platform with two different auto-scaling policies. We note that our technical scalability metrics can be integrated into a previously proposed utility oriented metric of scalability. We discuss the implications of our work.

Item Type: Article
Uncontrolled Keywords: Measurement, Performance, Scalability, Software-as-a-service (SaaS), Metrics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 10 Jul 2019 10:54
Last Modified: 15 Aug 2019 13:59
URI: http://eprints.keele.ac.uk/id/eprint/6573

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