Research Output
Scalability analysis comparisons of cloud-based software services
  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.

  • Type:

    Article

  • Date:

    23 July 2019

  • Publication Status:

    Published

  • Publisher

    SpringerOpen

  • DOI:

  • ISSN:

    2192-113X

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Â鶹ÉçÇø

Ahmad, A. A., & Andras, P. (2019). 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

Authors

Keywords

Measurement, Performance, Scalability, Software-as-a-service (SaaS), Metrics

Monthly Views:

Available Documents
  • pdf

    Scalability Analysis Comparisons Of Cloud-based Software Services

    1MB

    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

  • Downloadable citations

    HTML BIB RTF