[hpc-announce] [CFP] IEEE Network Magazine - Special Issue on Big Data Intelligent Networking

Ruidong Li lrd at nict.go.jp
Mon May 27 04:12:37 CDT 2019


A vast amount of big data is opening the era of the data-driven
solutions which will shape communication networks. Current networks are
often designed based on the static end-to-end design principle, and
their complexity has dramatically increased over the past several
decades, which hinders the efficient and intelligent provision of big
data. Both networking for big data and big data analytics in networking
applications pose great challenges for industry and academic researchers.

Small devices are continuously generating data, which are processed,
cached, analyzed, and finally stored on in-network storages (e.g.,
routers), edge servers, or Clouds. From them, users efficiently and
securely discover and fetch big data for diverse purposes. Intelligent
networking technologies should be designed to effectively support such
big data distribution, processing, and sharing.

On the other hand, critical applications, such as industrial Internet of
Things, connected vehicles, network monitoring/security/management,
require fast mechanisms for real-time analysis of a huge number of
events, as well as off-line analysis of massive historical data. These
applications show strong demands to enable the networking decisions
(e.g. routing, caching, security, and slicing) to be intelligent and
automatic. Furthermore, big data analytic techniques to extract features
and analyze the vast amount of data lead to a heavy burden on the
networking, and therefore smart and scalable approaches must be
conceived to enable them to be practical.

The aim of this special issue is to answer some of the questions related
to intelligent networking for big data and big data analytics for
networking. The potential topics include, but are not limited to:
- Networking architecture for big data
- Machine learning, data mining and big data analytics in networking
- Information-centric networking for big data
- Software-defined network and network function virtualization for big data
- Edge, fog, and mobile edge computing for big data
- Security, trust, and privacy for big data networking
- 5G and future mobile networks for big data sharing
- Blockchain with big data networking
- Data-center network for big data processing
- Data analytics for networking big data
- Distributed monitoring architectures for networking big data
- Machine learning for network anomaly detection and security
- In-network computation for intelligent networking
- Big data analytics for network management
- Distributed artificial intelligence for networking
- Efficient networking for distributed artificial intelligence
- Big data analytics and visualization for network traffic
- Big data analytics for intelligent routing and caching
- Big data networking in healthcare, smart cities, industry and other

Submission Guidelines:
Manuscripts should conform to the standard format as indicated in the
Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by
the deadline through Manuscript Central. Select the “July 2020: Big Data
Intelligent Networking” topic from the drop-down menu of Topic/Series

Important Dates:
Manuscript Submissions Deadline: 1 July 2019
Initial Decision Notification: 1 November 2019
Final Decision Notification: 1 March 2020
Final Manuscript Deadline: 1 April 2020
Publication Date: July 2020

Guest Editors:
Ruidong Li, NICT, Japan
Houbing Song, Embry-Riddle Aeronautical University, USA
Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
Payam Barnaghi, University of Surrey, UK
Jie Li, Shanghai Jiaotong University, China
Constandinos X. Mavromoustakis, University of Nicosia, Cyprus

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