Call for papers

Formats: PDF

Important Dates

Submission Deadline:   February 15th, 2017
Authors Notification:   March 10th, 2017
Authors Registration:   March 20th, 2017
Final Manuscript:   March 20th, 2017
Conference Dates:   June 10th-11th, 2017

Topics

The 5th International Conference on Emerging Internetworking, Data and Web Technologies (EIDWT-2017) is dedicated to the dissemination of original contributions that are related to the theories, practices and concepts of emerging internetworking, data and Web technologies yet most importantly of their applicability in business and academia towards a collective intelligence approach. EIDWT-2017 will discuss advances in information networking and exploitation of data generated from emerging data technologies such as Data Centers, Data Grids and Clouds.

The aim of EIDWT-2017 is to discuss methods and practices which bring various internetworking and emerging data technologies together to capture, integrate, analyze, mine, annotate and visualize data and made available from various community users.

The EIDWT-2017 provides a forum for original discussion and prompt future directions in the area. The main topic areas include, but are not limited to:

  • Data Security, Trust and Reputation
  • Big Data and Cloud Computing
  • Mobile and Wireless Networks
  • Network Protocols, Modelling, Optimization and Performance Evaluation
  • P2P and Grid Computing
  • Distributed and Parallel Systems
  • Ontologies and Metadata Representation
  • Knowledge Discovery and Mining
  • Databases and Data Warehouses
  • Data Centers and IT Virtualization Technologies
  • Web Science and Business Intelligence
  • Data Analytics for Learning and Virtual Organizations
  • Data Management and Information Retrieval
  • Machine Learning on Large Data Sets & Massive Processing
  • Data Modeling, Visualization and Representation Tools
  • Nature Inspired Computing
  • Data Sensing, Integration and Querying Systems and Interfaces
  • e-Science Data Sets, Repositories, Digital Infrastructures
  • Energy-aware and Green Computing in Data Centers