By Topic

Framework for testing cloud platforms and infrastructures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
William Jenkins ; Department of Computer Science, East Carolina University, Greenville, NC, USA ; Sergiy Vilkomir ; Puneet Sharma ; George Pirocanac

Cloud computing, which is a relatively new approach to distributed computing, uses cloud infrastructures that automatically scale to support an application's hardware requirements, and therefore, must have high reliability in order to meet user expectations. To achieve a high level of quality and reliability, cloud platforms and infrastructures must be tested thoroughly. Typically, cloud providers have individual approaches to infrastructure testing, and there are no widely accepted methods of infrastructure testing that are currently available. An important theoretical and practical problem in this area is the development of such methods, including testing application programming interfaces (APIs), which are direct links between the client code and the infrastructure it runs upon. In this paper, an approach for testing cloud platforms and infrastructures is suggested. An intelligent framework is presented, which accelerates testing and provides for parallel development of test cases. This framework is a cloud application, which contains plugins for testing APIs of cloud platforms. A prototype framework for testing Google App Engine has been created to show demonstrated applicability of the suggested approach.

Published in:

Cloud and Service Computing (CSC), 2011 International Conference on

Date of Conference:

12-14 Dec. 2011