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Second International Workshop on Big Data and Cloud Computing for Future Sensor Networks  (FSN 2016)

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Views: 768                 

When :  2016-08-15

Where :  Canada

Submission Deadline :  2016-03-27

Categories :   Data Mining ,  Cloud Computing      

Untitled Document

Second International Workshop on Big Data and Cloud Computing for Future Sensor Networks 

(FSN 2016)

August 15-18, 2016

Canada 

Call For Papers

Although Sensor Networks have several limitations in terms of memory, computation, energy, and communication, they have to manage large volume of data that they collect from the surrounding environment. For the last few years, researchers have been actively trying to optimize data collection, processing and transfer.

Nevertheless, the increasing requirements for real-time processing and storing of the collected data are rising up the need for a powerful and scalable high-performance computing and massive storage infrastructure.

With the emergence of cloud computing and big data, significant amounts of computation and data have been offloaded from data centres and personal devices while offering more scalability, flexibility, and economy. The integration of sensor networks with cloud computing and big data looks thus very attractive for more performant sensor networks. This integration may raise many research and practical challenges such as event processing and management, real time data processing, and large scale computing infrastructure.

The aim of this workshop is to gather latest research breakthroughs in using cloud computing and big data paradigms to develop better sensor networks. The workshop will gather leading researchers from academics and industry to present new ideas, original research results and practical development experiences.

Topics

  • Computation and storage in Sensor Network
  • Data analysis and mining in Sensor Networks
  • Distributed algorithms for data and computation placement in Sensor Networks
  • Big data analytics in large sensor networks
  • Big data mining and processing in sensor networks
  • Efficient sensor data dissemination
  • Mining big data collected from large-scale smartphone sensing deployments
  • Secure and remote management of sensor networks
  • Sensor data streaming via cloud computing system
  • Sensor cloud systems for remote and real-time monitoring
  • Architecture for sensor-cloud
  • Models for sensor-cloud
  • Design and integration of sensor-cloud systems
  • Sensor-Cloud Applications
  • Future directions of big data/Cloud Computing in Sensor Networks development

IMPORTANT DATES            

  • Paper submission: March 27, 2016
  •                        
  • Notification of acceptance : May 14, 2016
  •            
  • Final manuscripts due:  June 14, 2016
  •                        

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