Mobile cloud computing is a new paradigm that evolves from cloud computing. This paradigm is triggered by the increasing number of smartphone users and the inherent smartphone constraints, such as limited computational power, memory, storage and energy [Khan, 2014]. To gain the benefits of mobile cloud computing, computation offloading can be used to migrate resource intensive computational tasks from a mobile devices and sensors (used to collect environment data) to the cloud. We aim to investigate mobile-agent based computation offloading techniques that allow the partitioning of the application and the collected data into sub-partitions in order to facilitate the distribution of execution between the mobile devices and cloud [Aversa, 2012].