This event is endorsed
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5th EAI International Conference on Big data and Cloud Computing Challenges

March 8–9, 2018 | Chennai, Tamilnadu, India

5th EAI International Conference on Big data and Cloud Computing Challenges

VIT UNIVERSITY, CHENNAI, TAMILNADU, INDIA

Follow us on Twitter at #ICBCC2018

Highlights

  • The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.

  • All accepted papers will be submitted for publication in Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries.

  • Proceedings are submitted for inclusion to the leading indexing services: Elsevier (EI), Thomson Scientific (ISI), Scopus, Crossref, Google Scholar, DBLP, and others.

  • The authors of the best papers will be invited to submit an extended version of their work through one of the following EAI endorsed publications:

  • Security and Safety 

  • Self-Adaptive Systems

  • Cloud systems

  • ACM/Springer Mobile Networks &  Applications (MONET)

 

 

 

Springer

Scope:

The International Conference on Big data and Cloud Computing is a premier forum for researchers, practitioners, developers and users who are interested in cloud computing and big data to explore new ideas, techniques, and tools, as well as to exchange their experience. In 2018, we will celebrate our 5th edition of gathering, to strive to advance the largest international professional forum on big data and cloud computing.
 
The Fifth International Conference on Cloud Computing and Big Data Challenges (ICBCC’18) solicits high-quality original research papers in all aspects of Cloud Computing and Big Data with emphases on systems, services, and management. 

Topics include but are not limited to:

  • Architecture
  • Map Reduce
  • Security and Privacy
  • Services and Applications
  • Virtualization
  • HPC on Cloud
  • Big data Science and Foundations
  • Big data Infrastructure
  • Big data Management
  • Big data Search and Mining
  • Big data Security and Privacy
  • Bid data Applications