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PTCWA: Performance Testing of Cloud Based Web Applications

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • M. S. Geetha Devasena

    (Sri Ramakrishna Engineering College, Department of Computer Science and Engineering)

  • R. Kingsy Grace

    (Sri Ramakrishna Engineering College, Department of Computer Science and Engineering)

  • S. Manju

    (CMR Institute of Technology, Department of Computer Science and Engineering)

  • V. Krishna Kumar

    (Sri Ramakrishna Engineering College, Department of Computer Science and Engineering)

Abstract

Testing in a cloud environment involves a range of tests to analyze various aspects of the system in various cloud adoption scenarios such as public, private, or hybrid. Performance testing is a key aspect of the cloud testing strategy and it evaluates the application/software for various issues such as speed, stability, and scalability under varying load conditions. The key issues that must be considered in a cloud set-up as a part of the performance testing strategy are collection of statistics on the load, conducting stress test, monitoring the memory, checking for elasticity and scalability. This paper focuses on testing the resource utilization in cloud infrastructure in general and memory utilization in particular. The memory utilization is evaluated in public and private cloud environment with simulation of 10 users to 10,000 users.

Suggested Citation

  • M. S. Geetha Devasena & R. Kingsy Grace & S. Manju & V. Krishna Kumar, 2020. "PTCWA: Performance Testing of Cloud Based Web Applications," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 345-356, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_32
    DOI: 10.1007/978-3-030-41862-5_32
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