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*The Second International Workshop on Network Meets Intelligent
Computations (NMIC)*

*In conjunction with IEEE ICDCS 2020*

*Call for Papers*

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

*Important Dates*:

Submission deadline:   *March 15, 2020*

Acceptance notification: April 25, 2020

Camera ready: May 10, 2020

Workshop: July 8-10, 2020

*TPC Chairs *

•        Dijiang Huang, Arizona State University, USA

•        Ruidong Li, National Institute of Informationand Communications
Technology (NICT), Japan

•        Michele Nogueira, Federal University ofParana, Brazil

*Web Chair *

•        Ka-Cheong Leung, The University ofHong Kong, China

*Publicity Chairs *

•        Ouns Bouachir, Zayed University, UAE

•        Moayad Aloqaily, Gnowit Inc., Canada

•        Safa Otoum, University of Ottawa, Canada

*Steering Committee *

•        Jie Li, Shanghai Jiao Tong University, China

•        Nirwan Ansari, New Jersey Institute of Technology, USA

•        Hitoshi Asaeda, NICT, Japan

•        Xiaoming Fu, University of Goettingen, Germany

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