Multi-Cloud Application Deployment

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.


Singh, Babneet




Deploying applications in a multi-cloud environment can be challenging. The cloud providers face the challenge of optimally utilizing the cloud resources to achieve a goal such as reducing the clouds' power consumption. The cloud users, who deploy applications in the cloud, face the challenge of satisfying the application requirements, such as the processing and memory requirements, and application user requirements, such as the throughput and response time constraint. There is a relationship between the challenges faced by the cloud providers and cloud users, which allows these challenges to be studied together. This work covers such a problem, which aims to find a deployment or allocate resources for an application in a multi-cloud environment while satisfying the above requirements of the application, application user and cloud provider. The proposed algorithm uses a combination of queueing theory, clustering, graph partitioning and bin packing strategies to solve the multi-cloud application deployment problem.


System Science
Computer Science
Cloud computing -- Management




Carleton University

Thesis Degree Name: 

Master of Applied Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Engineering, Electrical and Computer

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).