By Topic

A virtual machine consolidation framework for MapReduce enabled computing 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)
Zhe Huang ; Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China ; Tsang, D.H.K. ; She, J.

In nowadays computing clouds, it is of the cloud providers' economic interests to correctly consolidate the workload of the virtual machines (VMs) into the suitable physical servers in the cloud data center in order to minimize the total maintenance cost. However, during the consolidation process, sufficient protection should be provided to the service level agreement (SLA) of the VMs. In this paper, the VM consolidation problem for MapReduce enabled computing clouds has been investigated. In the MapReduce enabled computing clouds, MapReduce jobs are carried out by homogeneous MapReduce VM instances that have identical hardware resource. Two resource allocation schemes with corresponding SLA constraints for the MapReduce VMs and the non-MapReduce VMs are proposed. Based on these schemes, the VM consolidation problem is modeled as an integer nonlinear optimization problem and an efficient algorithm has been proposed to locate its solutions. The results show that better VM consolidation performance can be achieved by colocating MapReduce instances together with non-MapReduce instances in the same set of physical servers.

Published in:

Teletraffic Congress (ITC 24), 2012 24th International

Date of Conference:

4-7 Sept. 2012