The 1^stWorkshop on Collaborative Intelligence for Big Data

The IEEE Global Communications Conference2018

 

Abu Dhabi, UAE

 December 9—13,2018

 

Explosive data growth is a reality and the trajectory is continuing to be strong. Big Data is an emerging area dealing with capture, storage, search, sharing, transfer, analysis, and visualization on large and complex data sets that are difficult to process within a tolerable elapsed time. As the volume, velocity and variety of data traffic travelling on networks rise at an exponential rate, we are facing great challenges to design and develop new architecture and technologies to support scalable real-time or near real-time big data applications. Collaborative Intelligence based on modern communication and computation technologies, e.g., Fog/Edge Computing, is becoming one of the most promising directions to address these challenges.

This workshop invites contributions addressing joint issues of Big Data, Artificial Intelligence, Edge Computing, Cloud Computing and etc. 

 

Topics of interest include, but are not limited to: 

• Architecture design and development for Collaborative Intelligence 
• Parallel and distributed algorithms for Collaborative Intelligence 
• Data storage, migration, backup, and synchronization for Collaborative Intelligence
• Data analysis for Collaborative Intelligence
• Edge/Fog computing algorithms and performance optimization for Collaborative Intelligence
• Edge-Cloud collaborative Intelligence for big data 
• New applications for Collaborative Intelligence
• Collaborative Intelligence for Disaster Scenarios

 

>> Manuscript Submission (GC'18 WS - CIBD)  <<

>> Paper Submission Deadline: July 1st, 2018 (Sun.)<<

>> Paper Acceptance Notification: 15 August 2018 <<

>> Camera-Ready: 15 September 2018 <<

>> IEEE Manuscript Templates <<

>> Contact Person: Dr. Junbo Wang, J-WANG AT U-AIZU.AC.JP  <<

 

Workshop Chairs:

Song Guo, The Hong Kong Polytechnic University, Hong Kong 

Junbo Wang, University of Aizu, Japan

Peng Li, University of Aizu, Japan

Wuhui Chen, Sun Yat-sen University, China 

 

Publicity Chair:

Yilang Wu, University of Aizu, Japan