Skip to main content
Skip to "About government"
Language selection
Français
Government of Canada /
Gouvernement du Canada
Search
Search the website
Search
Menu
Main
Menu
Jobs and the workplace
Immigration and citizenship
Travel and tourism
Business and industry
Benefits
Health
Taxes
Environment and natural resources
National security and defence
Culture, history and sport
Policing, justice and emergencies
Transport and infrastructure
Canada and the world
Money and finances
Science and innovation
You are here:
Canada.ca
Library and Archives Canada
Services
Services for galleries, libraries, archives and museums (GLAMs)
Theses Canada
Item – Theses Canada
Page Content
Item – Theses Canada
OCLC number
910984198
Link(s) to full text
LAC copy
LAC copy
Author
Gergin, Ian,1987-
Title
Controlling Performance and Cost of Clustered Applications in Large Shared Virtual Environments.
Degree
M.A. -- York University, 2012
Publisher
Ottawa : Library and Archives Canada = Bibliothèque et Archives Canada, [2013]
©2012
Description
2 microfiches
Notes
Includes bibliographical references.
Abstract
<?Pub Inc> Controlling cost in large shared virtual environments is a considerable challenge partly due to the virtualization of resources and also due to the coarsely-granular business model employed in today's cloud computing services. In this thesis, we propose the Decentralized Architecture for Cost and Performance Control in the Cloud - an architecture for controlling performance and cost in large shared virtual environments based on the IBM autonomic computing model and feedback loop controller design. We show that the cost of executing workload on n-tiered clustered applications in the cloud can be controlled while maintaining a service level objective performance level through clustered application logical decomposition into discretely managed tiers. Through experiments run on the Amazon EC2 cloud environment with real random workload, we evaluate that proposed architecture can effectively deliver service level objective adherence of over 90% while reducing cost by more than 30% depending on the virtual machine control strategy selected.
ISBN
9780494900703
0494900709
Date modified:
2022-09-01