With the emergence of the Internet of Things, the number of devices being connected to the Internet is steadily growing and huge amounts of data are being generated worldwide. Big data brings new traffic and performance related challenges and calls for a deep revisit of the methodological tools that were traditionally used for performance evaluation and traffic engineering. New models and approaches are needed to investigate big data characteristics in terms of volume, velocity and variability and their impact on network performance; new solutions have to be designed to efficiently and securely manage information; new techniques are needed to support all phases of network planning, design and optimization.
The scope of this Special Issue of Computer Networks reflects these challenges aiming at providing innovative contributions in this field. In the context of big data, we are interested in new methodologies and modeling techniques, as well as new solutions; topics of interest include but are not limited to:
Traffic measurement, network planning and management in the Big Data Era
Impact of the Internet of Things
Use of Software-Defined Networking for the Big Data challenges
Big Data traffic modeling and management
Simulation methods and tools
Pricing, billing and business models
Traffic and performance monitoring in the Big Data environment
Anomaly and DoS attack detection
Privacy and trust
Submission deadline: September 30th, 2015
Author notification: January 15th, 2015
Revised paper due: February 15th, 2016
Final author notification: April 1st, 2016
Publication: mid 2016
Sabine Wittevrongel (Ghent University, Belgium)
Michela Meo (Politecnico di Torino, Italy)
Catherine Rosenberg (University of Waterloo, Canada)
Instructions for submission
Submissions will be judged based on their originality, novelty, and quality. Submissions must not substantially overlap with papers that have been previously published or are currently submitted for publication.The submission must be clearly written and in excellent English, with a maximum page limit of 20 pages.
All received submissions within the scope of the issue will be sent out for peer review by three experts in the field and will be evaluated with respect to the relevance to this special issue, level of innovation, depth of contribution, and quality of presentation. Author guidelines for preparation of manuscript can be found at http://ees.elsevier.com/comnet/
Manuscripts should be submitted on line through http://ees.elsevier.com/comnet/ and “Big Data Era\” selected as the article type.