A Framework for Collaborative Content Mashup with Pervasive Services
Name
Wei Ding
Abstract
By composing pervasive services, mobile phones can support various industrial and commercial needs. However, the pervasive services composition involves discovering and processing a large amount of data in order to identify and interpret the content. Due to the limitation of the single device capability, it is advisable to collaborate with other devices via a wireless network to accomplish common goals. In this thesis, we propose and develop a generic framework that supports service-oriented content mashup and integrating pervasive services composition in the Business Process Execution Language (BPEL)-based collaboration. A resource-aware offloading scheme to collaborative devices has been proposed and implemented as a proof of concept. The evaluation results have shown that the framework supports collaborative task-offloading scheme that reduces the resource usage of mobile devices.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Chii Chang, Satish Narayana Srirama
Defence year
2015