PhD. Consortium
The intention of the PhD consortium consists in providing an equal opportunity for Ph.D. students to present their research results and receive feedback from experienced scholars and industry experts.
To that end, they are not treated as regular papers. The acceptance rate is twice higher than for the conference main track and position papers are welcome.
PhD. Consortium Presentation Guidelines
An overhead data projector will be provided in each room.
Important: Authors should bring their own laptop PCs for the presentations.
Duration of each presentation: you are allowed maximum 15 minutes, including 3 minutes for Q&A.
As a consequence, we advise you to target maximum 12 slides in your presentation (count as always on average 1 minute per slide).
As a consequence, we advise you to target maximum 12 slides in your presentation (count as always on average 1 minute per slide).
Thursday, December 15th, 2016 | 13:30 - 16:00pm
Session 7C: PhD. Consortium
Room: Diekirch/Echternach, Chair: Lin Wang
- Paper 252
Using contextual data for smart patent analysis
by: Alexander Ivanov and Zeljko Tekic. - Paper 251
Network Access Control Towards Fully-controlled Cloud Infrastructure
by: Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date and Shinji Shimojo. - Paper 224
Assessing Performance of Internet of Things-based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities
by: Andrea Capponi, Claudio Fiandrino, Christian Franck, Ulrich Sorger, Dzmitry Kliazovich and Pascal Bouvry. - Paper 254
A hybrid MCDM model for Cloud service selection and relative importance of Component services in Service-oriented Architecture
by: Khubaib Amjad Alam. - Paper 238
Toward Hyper Interconnected IoT World using SDN Overlay Network for NGN Seamless Mobility
by: Walaa Farouk. - Paper 232
A Software-Defined Security Strategy for Supporting Autonomic Security Enforcement in Distributed Cloud
by: Maxime Compastié, Rémi Badonnel, Olivier Festor, Ruan He and Mohamed Kassi-Lahlou. - Paper 242
An Approach for Smart Management of Big Data in the Fog Computing Context
by: Farhoud Hosseinpour, Juha Plosila and Hannu Tenhunen.