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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: February 15, 2020

Acceptance notification: April 1, 2020

Camera ready: April 15, 2020

Workshop: July 8-10, 2020

Committees

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

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

Keynote Speaker

Prof. Kui Ren, Zhejiang University, IEEE Fellow, ACM Distinguished Scientist

Bio: Kui Ren is Professor and Associate Dean of College of Computer Science and Technology at Zhejiang University, where he also directs the Institute of Cyber Science and Technology. Before that, he was SUNY Empire Innovation Professor at State University of New York at Buffalo. He received his PhD degree from Worcester Polytechnic Institute. Kui’s current research interests include Data Security, IoT Security, AI Security, and Privacy. He received IEEE CISTC Technical Recognition Award in 2017, SUNY Chancellor’s Research Excellence Award in 2017, Sigma Xi/IIT Research Excellence Award in 2012, and NSF CAREER Award in 2011. Kui has published more than 300 papers in peer-reviewed journals and conferences and received several Best Paper Awards, including ACM AsiaCCS’18, IEEE ICDCS'17, IWQoS'17, and ICNP'11. His h-index is 67, and his total publication citation exceeds 29,000 according to Google Scholar. Kui is a Fellow of IEEE, a Distinguished Scientist of ACM. He currently serves as an area/associate editor for ACM Trans. On Cyber Physical Systems, IEEE Trans. on Dependable and Secure Computing, IEEE Trans. on Service Computing, IEEE Trans. on Networking, IEEE Trans. on Mobile Computing, IEEE Wireless Communications, IEEE Internet of Things Journal, and Computer Networks.