Cart (Loading....) | Create Account
Close category search window

Adaptive resource allocation for Back-end Mashup applications on a heterogeneous private cloud

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
$31 $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

5 Author(s)
Iqbal, W. ; Comput. Sci. & Inf. Manage., Asian Inst. of Technol., Pathumthani, Thailand ; Dailey, M.N. ; Ali, I. ; Janecek, P.
more authors

On-demand resource provision is one of the key features of cloud computing, allowing applications to grow or shrink on the basis of dynamic workloads. Thus far, most of the research on leveraging on-demand resource provision has focused on batch style applications for scientific computation or Web-centric applications, especially n-tier e-commerce applications. Very little research, however, has focused on leveraging the benefits of cloud computing for applications with alternative architectures. In this paper, we focus on Back-end Mashup applications that have resource-intensive back ends responsible for continuous collection and analysis of real-time data from external services or applications. We present a working prototype back-end mashup application, BuddyMonitor, that allows users of instant messaging services to monitor and analyze the online presence of their “buddies.” The prototype exploits adaptive allocation of cloud resources to scale gracefully in the presence of rapid increases in workload. We demonstrate the feasibility of the approach in an experimental evaluation with a testbed cloud and a realistic simulation of a large scale external XMPP chat service.We conclude that cloud computing with adaptive resource allocation has the potential to increase the usability, stability, and performance of large-scale back-end mashup applications.

Published in:

Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on

Date of Conference:

19-21 May 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.