A Framework for Hosting Context-Aware Web Services - An Analysis of Available Solution Models

Emil Lysgaard Hansen, Søren Fuhr

AbstractThe industry of communication technology has shown great advancement in the last decade and has resulted in devices capable of performing complex computational tasks along with collecting context specific data about the users. This development, coupled with the growth of social networks, give way for a novel interest in advanced analysis of social groups.
The purpose of this thesis is to study the requirements needed to construct a system for the Mobile Interactions Lab’s Context-Awareness research programme, a part of the Technical University of Denmark, that enables easy and flexible development of scalable context aware mobile applications and services for a campus-wide deployment.
We carried out a feasibility analysis of available technical solution models, based on a set of high level requirements, in order devise a proper system design. This design consists of a three-tier Web service system architecture hosted on Amazon Elastic Compute Cloud. Additionally, a proof-of-concept prototype was created to test the utilization of selected component functionality in regards to the initial requirements.
The results of this test indicated a clear potential of the suggested system design for rapid development of diverse Web services. However, it was found that the research outcome may not be directly applicable for a full scale deployment. Therefore, further research on the product specification is necessary.
TypeBachelor thesis [Academic thesis]
Year2011
PublisherTechnical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk
AddressAsmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark
SeriesIMM-B.Sc.-2011-18
NoteSupervised by Associate Jakob Eg Larsen, jel@imm.dtu.dk, and Sune Lehmann Jørgensen, slj@imm.dtu.dk, DTU Informatics
Electronic version(s)[pdf]
Publication linkhttp://www.imm.dtu.dk/English.aspx
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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