Call For Industry Track Papers

The 2015 International Conference on Mobile Data Management (MDM 2015), to be held in Pittsburgh, Pennsylvania, USA, solicits innovative papers related to industrial applications of mobile data management, solutions towards real-world problems, complex commercial mobility and data management solutions and systems in ubiquitous, mobile, cloud and social computing. In addition, it also solicits submissions on innovative applications and experiences in applying advanced research tools and techniques towards myriad of real-world problems in the MDM area.

Over the last decade, the amount of mobile data available has exploded, and the use of it has changed significantly. Data from mobile users, even anonymized, is a significant strategic asset for companies. At the same time, legislation and user expectations raise significant hurdles to the use of the data, which must be met. The industrial track will focus on the use of data management in mobile systems, such as the use of Hadoop, MapReduce, and other advanced database techniques for data mining; mobile data collection and sensing; applications of data mining such as movement and demographic tracing; user, business and legal requirements for anonymization and privacy of mobile data and how to reconcile conflicting requirements; tools and techniques for crawling, processing, visualization and analysis of mobile datasets, and data management issues related to emerging mobile applications like crowdsourcing. We also encourage papers coming out of new mobile service trials, deployment experiences, real-world lessons.

Topics of interest include, but are not limited to, the following:

• Adaptability and stability of pervasive computing systems
• Context-aware computing and location-based services
• Data management in sensor and mobile ad hoc networks
• Data management in mobile peer-to-peer networks
• Data Management in the Mobile Cloud
• Data mining for mobile applications
• Data replication, migration and dissemination in mobile environments
• Data stream processing in mobile/sensor networks
• OS and middleware for mobile and pervasive computing
• Indexing and query processing for moving objects
• Query processing and optimization for mobile users
• Resource advertising and discovery techniques
• Theoretical foundations of data-intensive mobile computing
• OS and middleware for mobile and pervasive computing
• Security and privacy issues for ubiquitous systems
• Pervasive data management
• Transactions and workflows in mobile environments
• Location and Trajectory data management
• Publish/subscribe and Query processing middleware for mobile data
• Mobile Cloud Computing
• Mobile Semantic Data Management
• Human-centric Activity Recognition
• Augmented Reality systems, data issues
• Managing pervasive data, sensor data streams and user devices
• People-centric mobile sensing networks and smart urban spaces
• Management of community sensing/participatory sensing data
• Management of Real-time Data in Converged Networks
• Mobile social applications and services

SUBMISSION GUIDELINES

The conference invites original, unpublished work, not exceeding 8 pages in IEEE camera-ready format (please see templates here).

In addition to full-length papers, we also welcome shorter papers (e.g., 4 pages in length) that present an interesting point of view or work in progress.

To submit your paper please use this link (https://easychair.org/conferences/?conf=mdm2015industrialtra)

Important dates

• Paper submission: December 07, 2014December 15, 2014
• Acceptance notification: February 15, 2015
• Camera-ready paper submission: March 10, 2015April 1, 2015
• Conference: June 15-18, 2015

Track Chairs

• Hui Lei (IBM Watson Research, US) (hlei@us.ibm.com )
• Mario Nascimento (Univ. of Alberta, Canada) (mario.nascimento@ualberta.ca)

Program Committee

• Paul Castro, IBM Research
• Chi-Yin Chow, Department of Computer Science, City University of Hong Kong
• Ugur Demiryurek, Univ. of Southern California
• Tom Z. J. Fu, Illinois at Singapore Pte Ltd., Advanced Digital Sciences Center
• Rafael Gimenez, Barcelona Digital Centre Tecnològic
• Erik Hoel, ESRI
• Dilip Krishnaswamy, IBM Research
• Jose Macedo, Federal University of Ceara
• Anirban Mondal, Xerox
• Mohamed Sarwat, Arizona State University
• Saket Sathe, IBM Research Australia
• Matthias Schubert, Ludwig-Maximilians-Universität München
• Kristian Torp, Aalborg University
• Cristina Frà, Telecom Italia