Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. Automated WAIT for Cloud-Based Application Testing
 
  • Details
Options

Automated WAIT for Cloud-Based Application Testing

File(s)
FileDescriptionSizeFormat
Download Portillo_2014_automated(PHOEBE1).pdf750.16 KB
Author(s)
Portillo Dominguez, Andres Omar 
Wang, Miao 
Murpy, John 
Magoni, Damien 
Uri
http://hdl.handle.net/10197/9234
Date Issued
04 April 2014
Date Available
16T19:11:00Z February 2018
Abstract
Cloud computing is causing a paradigm shift in the provision and use of software. This has changed the way of obtaining, managing and delivering computing services and solutions. Similarly, it has brought new challenges to software testing. A particular area of concern is the performance of cloud-based applications. This is because the increased complexity of the applications has exposed new areas of potential failure points, complicating all performance-related activities. This situation makes the performance testing of cloud environments very challenging. Similarly, the identification of performance issues and the diagnosis of their root causes are time-consuming and complex, usually require multiple tools and heavily rely on expertise. To simplify these tasks, hence increasing the productivity and reducing the dependency on human experts, this paper presents a lightweight approach to automate the usage of expert tools in the performance testing of cloud-based applications. In this paper, we use a tool named Whole-system Analysis of Idle Time to demonstrate how our research work solves this problem. The validation involved two experiments, which assessed the overhead of the approach and the time savings that it can bring to the analysis of performance issues. The results proved the benefits of the approach by achieving a significant decrease in the time invested in performance analysis while introducing a low overhead in the tested system.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2014 IEEE
Keywords
  • Cloud computing

  • Performance testing

  • Automation

  • Performance analysis

  • Expert tools

  • Testing

  • Expert systems

  • Silicon

  • High definition video...

  • Productivity

  • Monitoring

DOI
10.1109/ICSTW.2014.46
Language
English
Status of Item
Peer reviewed
Description
2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Ohio, United States of America, 31 March- 4 April 2014
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
11
Acquisition Date
Mar 20, 2023
View Details
Views
1281
Last Month
1
Acquisition Date
Mar 22, 2023
View Details
Downloads
391
Last Week
1
Last Month
1
Acquisition Date
Mar 22, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement