By Topic

Decision support for virtual machine reassignments in enterprise data centers

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

2 Author(s)
Setzer, T. ; Dept. of Inf. (I18), Tech. Univ. Munchen (TUM), Garching, Germany ; Stage, A.

We introduce a novel method to discover beneficial time frames for adapting virtual machine (VM) assignments in consolidated enterprise data centers. Our key insight lies in learning an optimal orthonormal transform from the workload data of a set of enterprise applications hosted in VMs. The transform allows us to extract only a few indicators from long, time-varying and complex workload time series. The indicators represent the initially high-dimensional data set in a reduced form which allows for a concise identification of periods of relatively stable resource demands and turning points in the behavior of a set of VM workloads that require VM reassignments. In this work, we address one of the most pressing problems for data center operators, namely the reduction of managerial complexity of resource and workload management in data centers hosting thousands of applications with complex and varying workload behaviors. We demonstrate the decision support model using workload traces from a professional data center.

Published in:

Network Operations and Management Symposium Workshops (NOMS Wksps), 2010 IEEE/IFIP

Date of Conference:

19-23 April 2010