Graduation Semester and Year
2016
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering
Department
Computer Science and Engineering
First Advisor
David Levine
Abstract
With the evolution of cloud service providers offering numerous services such as SaaS, IaaS, PaaS, options for enterprises to choose the best set of services under optimal costs have also increased. The migration of web applications across these heterogeneous platforms comes with ample of options to choose from, providing users the flexibility to choose the best options suiting their requirements. This process of migration must be automated to ensure the security, performance and availability, keeping the cost to be optimal while moving the application from one platform to another. A multi-tier web application will have many dependencies such as the Application Environment, Data Storage and Platform Configurations which may or may not be supported by each of the cloud providers. Through this research, an automated cloud-based framework to migrate single or multi-tier web applications across heterogeneous cloud platforms is presented. Heroku and AWS (Amazon Web Services) cloud platforms are used as examples in this paper. The proposed framework can be extended to support more cloud providers in future such as Microsoft Azure, IBM Bluemix, Openstack etc. Observations on various configurations required by a web application to run on Heroku and AWS cloud platforms have been presented and discussed. This research will show how, using these configurations, a generic web application can be developed which can seamlessly work across multiple cloud service platforms. Finally, this paper shows the different experiments conducted on the migrated applications, considering the factors such as scalability, availability, elasticity and data migration. Application performance was tested on both the AWS and Heroku platforms, measuring the application creation, deployment, database creation, migration and mapping times.
Keywords
Cloud merge, Migration, Heroku, AWS, Elastic Beanstalk, PaaS
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Jain, Mayank, "CLOUD MERGE: HETEROGENEOUS CLOUD APPLICATION MIGRATION USING PLATFORM AS A SERVICE" (2016). Computer Science and Engineering Theses. 487.
https://mavmatrix.uta.edu/cse_theses/487
Comments
Degree granted by The University of Texas at Arlington