Incentive Models for Mobile Code Offloading to Improve it's Adaptability

Name
Talha Mahin Mir
Abstract
Mobile cloud computing has been rising in popularity in recent years due to the advantages it brings to the mobile devices. Mobile devices are mostly resource constrained and using cloud computing technologies they can perform even highly resource intensive tasks efficiently. For performing resource intensive tasks on the cloud, mobile devices need to delegate those tasks to the cloud for which two major techniques are in use today namely Task delegation and Code offloading. In task delegation model, mobile device consumes web services provided by the cloud through an API. Whereas in Code offloading model, app is partitioned to identify resource intensive tasks which are then transferred to the server for remote processing. Various techniques have been in use for performing code offloading but none of them are economically viable due to which this model is not frequently used in the industry. In this thesis, we tried to address the issues which make code offloading expensive and came up with code offloading model that can make the process economically viable. We developed a game theoretic model that provides incentive to mobile users to open their devices for offloading. Simulation and a small prototype have also been developed to validate the mathematical model.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Prof. Satish Srirama
Defence year
2018
 
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