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

Modeling remote desktop systems in utility environments with application to QoS management

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

3 Author(s)
Talwar, V. ; HP Labs., Palo Alto, CA, USA ; Nahrstedt, K. ; Milojicic, D.

A remote desktop utility system is an emerging client/server networked model for enterprise desktops. In this model, a shared pool of consolidated compute and storage servers host users' desktop applications and data respectively. End-users are allocated resources for a desktop session from the shared pool on-demand, and they interact with their applications over the network using remote display technologies. Understanding the detailed behavior of applications in these remote desktop utilities is crucial for more effective QoS management. However, there are challenges due to hard-to-predict workloads, complexity, and scale. In this paper, we present a detailed modeling of a remote desktop system through case study of an Office application - email. The characterization provides insights into workload and user model, the effect of remote display technology, and implications of shared infrastructure. We then apply these learnings and modeling results for improved QoS resource management decisions - achieving over 90% improvement compared to state of the art allocation mechanisms. We also present discussion on generalizing a methodology for a broader applicability of model-driven resource management.

Published in:

Integrated Network Management, 2009. IM '09. IFIP/IEEE International Symposium on

Date of Conference:

1-5 June 2009

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.