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Scalability Analysis Comparisons of Cloud-based Software Services

Al-Said Ahmad, A; Andras, P

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Authors

P 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.

Acceptance Date Jul 4, 2019
Publication Date Jul 23, 2019
Journal Journal of Cloud Computing: Advances, Systems and Applications
Publisher Springer Verlag
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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