Workshop on Big Data and Data Mining Challenges on IoT and Pervasive Systems

In conjunction with the 7th International Conference on Ambient Systems, Networks and Technologies (ANT-2016)

May 23, 2016, Madrid, Spain.

 

The deployment of Internet of Things (IoT) represents a potentially massive volume of data to explore. However, it requires more efficient and scalable data analysis methods and raises additional challenges on data management, distribution and storage. Despite the significance of the correlation between IoT and its data management, there is generally a deficiency to understand the suitable approaches to integrate these two new emerging research areas.

The advent of IoT also opens new perspectives for the enterprises that will be able to manage and extract information from these pervasive environments in their Information Systems.  The success of these new Pervasive Information Systems depends on the efficient integration of IoT and appropriate data management approaches.

This workshop aims at gathering researchers interested in the big data and data mining challenges for pervasive information systems and IoT environments. We welcome original unpublished research papers (as well as practical experience reports) related to topics of the workshop, which include but are not limited to the following: 

 

  • IoT platforms for BigData and Data analytics on clouds or pervasive environments
  • Data-intensive computing on hybrid infrastructures (e.g., clusters, clouds, grids, P2P)
  • Heterogeneous Source Mining
  • Pervasive grids and Mobile Edge Computing
  • Data streams mining techniques
  • Big data analytics and mining applications for pervasive systems
  • Data mining techniques for sensor data
  • Algorithms for big data analytics and data mining on pervasive environments
  • Mining and recommendation techniques for pervasive environments
  • Big data analytics applied to Smart Cities
  • Programming models, including MapReduce, extensions, and new models applied to pervasive environments
  • Scalability and elasticity in big data environments
  • Fault-tolerance and reliability in IoT and pervasive environments
  • Performance analysis of big data tools and applications in pervasive environments
  • Software-defined networks for big data analytics and data mining
  • Scheduling and resource management in big data environments
  • Challenges in big data storage and processing
  • Big data tools, services, and infrastructures on clouds

 

Important Dates

  • Paper Submission: January 17, 2016 JANUARY 31, 2016 (final extension)
  • Notification of Acceptance: February 21, 2016
  • Registration: March 18, 2016
  • Camera-ready submission: March 21, 2016

 

Publication

 

All workshops accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Sciences is hosted on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index. The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. All accepted papers will also be indexed in DBLP (http://dblp.uni-trier.de/).

 

 

                           Selected papers will be invited to submit an extended version for publication on the special edition of the International Journal of Information Technologies and the Systems Approach (IJITSA - IGI Global) "Computing Challenges on IoT and Pervasive Systems".​

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