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Scalability Analysis Comparisons of Cloud-based Software Services

Al-Said Ahmad, Amro; Andras, Peter

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Authors

Peter Andras



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.

Journal Article Type Article
Acceptance Date Jul 4, 2019
Online Publication Date Jul 23, 2019
Publicly Available Date Mar 28, 2024
Journal Journal of Cloud Computing: Advances, Systems and Applications
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 8
Article Number 10
DOI https://doi.org/10.1186/s13677-019-0134-y
Keywords Measurement, Performance, Scalability, Software-as-a-service (SaaS), Metrics
Publisher URL https://doi.org/10.1186/s13677-019-0134-y

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