By Topic

Application-Aware Virtual Machine Placement in 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
$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)
Fei Song ; Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China ; Daochao Huang ; Huachun Zhou ; Ilsun You

Based on the convex optimization theory, the energy-efficient and scalability problems of modern data centers are studied. Then a novel application-aware virtual machine (VM) placement algorithm is proposed to cope with these problems. Firstly, the definition of VM placement fairness and utility function are given, and the basic algorithm of VM placement which fulfills server constraints of physical machines is con-ducted. Secondly, we formulate the VM placement as an optimization problem. A two-tier algorithm that efficiently solves the VM placement problem in large scale was designed. Comparing to existing methods, we illustrate the performance improvement such as reducing the number of physical machines efficiently, decreasing communication distance between VMs, improving energy-efficient and scalability of data centers.

Published in:

Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on

Date of Conference:

4-6 July 2012