Scalability Analysis Comparisons of Cloud-based Software Services

Al-Said Ahmad, Amro; Andras, Peter

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.

Citation

Al-Said Ahmad, A., & Andras, P. (in press). Scalability Analysis Comparisons of Cloud-based Software Services. Journal of Cloud Computing: Advances, Systems and Applications, 8, Article 10. https://doi.org/10.1186/s13677-019-0134-y

• Journal Article Type: Article
• Acceptance Date: Jul 4, 2019
• Online Publication Date: Jul 23, 2019
• 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