[agents] IEEE ICDCS 2020 The Second International Workshop on Network Meets Intelligent Computations (NMIC 2020)
Safa Otoum
otoum.safa1 at gmail.com
Thu Jan 23 04:59:07 EST 2020
*We apology for possible cross posting, and appreciate your support and
distribution*
-----------------------------------------------------------------------------
IEEE ICDCS 2020 The Second International Workshop on Network Meets
Intelligent Computations (NMIC 2020)
http://www.pkucareer.com/NMIC2020.html
Important Dates:
Submission deadline: *February 15, 2020*
Acceptance notification: April 1, 2020
Camera ready: April 15, 2020
Workshop: July 8-10, 2020
Keynote Speaker: Prof. Kui Ren, Zhejiang University, IEEE Fellow, ACM
Distinguished Scientist
The new computation technologies, such as big data analytics, modern
machine learning technology, artificial intelligence (AI), blockchain, and
security processing, have the great potential to be embedded into network
to enable it to be intelligent and trustworthy. On the other hand,
Information-Centric Networking (ICN), software-defined network (SDN),
network function virtualization (NFV), network slicing, and data center
network have emerged as the novel networking paradigms for fast and
efficient delivering and retrieving data. Against this backdrop, there is a
strong trend to move the computations from the cloud to not only the edges
but also the resource-sufficient networking nodes, which triggers the
convergence between the emerging networking concepts and the new
computation technologies.
The ultimate goals for networking researches include intelligence, trust,
and efficiency, which can be enhanced by or benefit for the intelligent
computations. There are many open challenges for the emerging network
concepts to meet the intelligent computations: what computations should be
embedded; which node should be enforced with the computation; how can the
computations, such as big data analytics, security, AI, machine learning,
blockchain, be seamlessly embedded into the network and enable it to be
efficient, trustworthy and accountable; how to fast locate the required and
suitable computation nodes; how to efficiently transfer data through series
of computation nodes; how to efficiently collect and process the big
networking data; how to design networking architectures and protocols to
easily support the efficient and diverse computations; how to achieve
ultra-low latency communications with distributed computations; and how to
migrate from the Internet to the computation-enabled network.
The NMIC workshop 2020 solicits the papers that address the technical
challenges and applications of the distributed computations for networking,
the intelligent computations supported by the novel networking
technologies, and the enforcement of series of computations. We envision
that the combination of computations with networking will provide more
effective computation support for applications and enable the network to be
more intelligent, trustworthy, and efficient. The areas of interests
include, but are not limited to, the following:
Networking architecture and protocols for integrating caching, computation,
and communications
Machine learning, data mining and big data analytics in networking
In-network computation for future networks, inter-data center networking
and 5G
Information-centric networking with/for computations
Intelligent Internet edge integrating edge, fog, and mobile edge computing
with networking
Intelligent service function/computation chaining
Security, privacy, trust, accountability for/with intelligent computation
networking
Collection and processing for big network data
Distributed computations for network anomaly detection and security
Integrating Blockchain with networking
Network function virtualization, software-defined network, and network
slicing for distributed computations
Networking computations for big data, streaming, IoT, and AR/VR
In-network data computations for network measurement and management
Distributed artificial intelligence with/for networking
Data modelling and applications of networking
Big data networking in healthcare, V2V, smart cities, industry and other
applications
TPC Chairs
Ruidong Li, National Institute of Information and Communications Technology
(NICT), Japan
Michele Nogueira, Federal University of Paraná, Brazil
Lei Jiao, University of Oregon, USA
Ryoichi Shinkuma, Kyoto University, Japan
Web Chair
Kaigui Bian, Peking University, China
Keynote Chair
Zhi Zhou, Sun Yat-sen University, China
Publicity Chairs
Moayad Aloqaily, Gnowit Inc. Ottawa, Canada
Safa Otoum, University of Ottawa, Canada
Ouns Bouachir, Zayed University, UAE
Steering Committee
Jie Li, Shanghai Jiao Tong University, China
Nirwan Ansari, New Jersey Institute of Technology, USA
Xiaoming Fu, University of Gottingen, Germany
Hitoshi Asaeda, NICT, Japan
Dijiang Huang, Arizona State University, USA
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20200123/9c49b6f5/attachment.html>
More information about the agents
mailing list