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

CloudMap: Workload-aware placement in private heterogeneous clouds

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)
Viswanathan, B. ; IBM Res. - India, New Delhi, India ; Akshat Verma ; Dutta, S.

Cloud computing has emerged as an exciting hosting paradigm to drive up server utilization and reduce data center operational costs. Even though clouds present a single unified homogeneous resource pool view to end users, the underlying server landscape may differ in terms of functionality and reconfiguration capabilities (e.g., support for shared processors, live migration). In a private cloud setting where information on the resources as well as workloads are available, the placement of applications on clouds can leverage it to achieve better consolidation with performance guarantees. In this work, we present the design and implementation of CloudMap, a provisioning system for private clouds. Given an application's resource usage patterns, we match it with a server cluster with the appropriate level of reconfiguration capability. In this cluster, we place the application on a server that has existing workloads with complementary resource usage profile. CloudMap is implemented using a hybrid architecture with a global server cluster selection module and local cluster-specific server selection modules. Using production traces from live data centers, we demonstrate the effectiveness of CloudMap over existing placement methodologies.

Published in:

Network Operations and Management Symposium (NOMS), 2012 IEEE

Date of Conference:

16-20 April 2012

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.