We seek to build a simulation framework with which OnLive can evaluate the effectiveness of different application distribution strategies. In order to do this, we built a model of OnLive’s service and re-implemented their Intelligent App Distribution algorithm into our simulation. Using a genetic algorithm, we were able to programmatically construct new application distribution ratios that met demand equally as well as OnLive’s current ratios did while saving a large amount of disk space.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Stephen, Brendan Michael
• Nguyen, Thinh Lam
• Jaffe, Samuel Joseph

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-033014-145824

Advisor

• Claypool, Mark L.
• Finkel, David

Year

• 2014

Center

• Silicon Valley, California Project Center - MQP

Sponsor

• OnLive

Date created

• 2014-03-30

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright

Última modificación

• 2021-01-29