http://www2016.ca/

Recherche

Mobility

The Mobility track seeks original papers in the broad area of systems, networking, applications and analysis related to the mobile web. This year’s Mobility track will place special emphasis on the use of mobile services and application data for the understanding of the user behaviour and the improvement of the user experience.

WWW places a special emphasis on research with immediate relevance to industry, practitioners, and standards bodies.  In this context, the Mobility track seeks papers of special interest to both academics and industry partners such as papers focusing on analysis of data, experimentation, implementation, deployment, experiences, testing, measurement, usability with mobile and pervasive systems.
Given the increasing availability of measurements and datasets, we are especially interested in geo-social and mobile data driven modelling as well as technical issues in accessing web content (from a browser or a mobile application) using a mobile device or a low-power device.

We are interested in a broad range of topics including (but not limited to):

  • Analysis and modelling of mobile data and services
  • Experience with mobile applications, networks and systems
  • Usage evaluations of mobile and wireless systems
  • Performance and reliability of mobile systems
  • Infrastructure support for mobility and pervasive Web
  • Data management for mobile and wireless applications
  • Applications and services for mobile users
  • Location and context-aware applications and services
  • Wearable computing
  • Security and privacy of mobile users and their data
  • Disconnected and intermittently connected operation
  • System-level energy management for mobile and wireless devices
  • Algorithms and protocols for power management and control
  • Low-cost web access devices and networking for emerging regions

For questions related to this call, please email: mobility@www2016.ca

Area Chair

  • Cecilia Mascolo, University of Cambridge, UK


Programme Committee

  • Ramon Caceres, Google
  • Landon Cox, Duke University, USA
  • Hamed Haddadi, Queen Mary University of London, UK
  • Raghu Ganti, IBM Research
  • Daniel Gatica-Perez, EPFL, Switzerland
  • Renaud Lambiotte, University of Namur, Belgium
  • Nic Lane, Bell Labs
  • Ilias Leontiadis, Telefonica Research
  • Justin Manweiler, IBM Research
  • Archan Misra, SMU, Singapore
  • Yves-Alexandre de Montjoy, MIT, USA
  • Mirco Musolesi, University College London, UK
  • Anastasios Noulas, University of Lancaster, UK
  • Nuria Oliver, Telefonica Research, Spain
  • Kostas Pelechrinis, University of Pittsbourgh, USA
  • Mahadev Satyanarayanan, CMU, USA
  • Souvik Sen, Google, USA
  • Junehwa Song, Korea Advanced Institute of Science and Technology, Korea
  • Xing Xie, Microsoft Research
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