By Topic

A SLA-compliant Cloud resource allocation framework for N-tier applications

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

5 Author(s)
Aaron McConnell ; School of Computing and Information Engineering, University of Ulster, Coleraine, Northern Ireland ; Gerard Parr ; Sally McClean ; Philip Morrow
more authors

IaaS is commonly offered by Cloud vendors where VMs can be created and run on cloud resources. The resource allocation for each VM is defined by the user and the VM is created on a physical machine where ample resources exist to support the VMs operation at the maximum expected load. There are a number of opportunities for improvement when allocating host resources to VMs. VM-resident applications are often n-tier, with different VMs responsible for parts of the distributed application. The network proximity to the user may be an issue for some applications. Resource allocation to VMs should also be such that, rather than a user over-provisioning the VM, the VMs minimal operational requirements are specified so that the VM can be resource-throttled at times of heavy load. This paper presents a system called Innkeeper, a three-tiered distributed approach which aims to dynamically allocate resources to VMs in a way that ensures SLA compliance, with consideration given to the network conditions between related VMs. Initial experiments show that the InnKeeper framework provides a means of real-time, SLA-compliant allocation of distributed cloud resources.

Published in:

Cloud Networking (CLOUDNET), 2012 IEEE 1st International Conference on

Date of Conference:

28-30 Nov. 2012