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Special Issue on Edge Computation and Intelligence

The emerging applications, such as augmented and virtual realities (AR/VR), Internet of Things (IoT), 4K/8K streaming, raise strong requirements to move the computations from the cloud to the edges closer to users. There are diverse possibilities for the network edges, which may include a variety of entities, such as small data centers, end devices, and resource-sufficient networking nodes. They together provide the network computations and intelligence to users.

At the network edge, 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), data center network, software-defined network (SDN), network function virtualization (NFV), and network slicing have emerged as the novel networking paradigms for fast and efficient delivering and retrieving data. This triggers the convergence between the emerging networking concepts and the new computation technologies to reach the vision of an intelligent edge.

For edge intelligence, there are many open challenges: what services should be provided at edges; how to enable the intelligent collaborations and networking among the edges; what computations should be embedded at the entities at the edges; how can the computations, such as big data analytics, security, AI, machine learning, blockchain, be seamlessly embedded into the edge and enable it to be efficient, trustworthy and accountable; how to fast locate the required and suitable computation entity; how to efficiently transfer data through series of computation entities; how to design the hardware architecture; how to design the middleware for the edge; how to balance the working load at the edge; how to achieve ultra-low latency communications with distributed edge computations; how to define and manage the edge/fog systems; how to adapt the resources with the dynamic user demands; and how to migrate the current network edge to the computation-enabled intelligent edge.

This special issue aims to bring together leading researches on edge computation and intelligence. We hence encourage original paper submissions, which have not been published or submitted for publication elsewhere, from both academia and industry presenting novel research addressing the aforementioned challenges.

The topics relevant to this special issue include but are not limited to:

  • Intelligent edge system and networking architecture and protocols
  • Intelligent coordination and networking between edge, fog, and cloud
  • Hardware architectures for intelligent edge
  • Software architectures and toolkits for intelligent edge
  • Coordination and networking among intelligent edges
  • Coordination and networking among the entities in the intelligent edges
  • Integration of edge/fog computing with networking
  • Migration to the intelligent edge
  • Intelligent service function/computation chaining
  • Network function virtualization, software-defined network, and network slicing for distributed computations
  • Information-centric networking with/for computation
  • In-network computation for future networks, inter-data center networking and 5G
  • In-network computations for big data, 4K/8K streaming, IoT, 5G, and AR/VR
  • Trust, security, privacy for intelligent edge
  • Accountability, reliability, and resiliency for intelligent edge
  • Quality of services and energy efficiency for intelligent edges
  • Programming models and scheduling for intelligent edge
  • Storage systems for intelligent edge
  • Load balancing for intelligent edges
  • Distributed artificial intelligence with/for edge networking
  • Integrating Blockchain with distributed edges and Internet finance
  • Software and hardware infrastructure for small data centers
  • The construction and operations for intelligent small data centers
  • Machine learning, data mining and big data analytics in networking
  • Collection and processing for big network data
  • Applications for intelligent edge, such as AR/VR, IoT, 5G, cyber-physical system, smart city, vehicular system, healthcare
  • Quantum computing at intelligent edge
  • Federated learning for intelligent edge
  • Deployment and management for intelligent edge
  • Performance monitoring, metering, modelling, and evaluations for intelligent edge

Paper Submission

DCN, fully open accessed by ScienceDirect, publishes rigorously peer-reviewed and high-quality original articles and authoritative reviews. Only original and unpublished research papers will be considered in this special issue. Authors should follow the Digital Communications and Networks (DCN) manuscript format described in the Information for Authors at DCN journal website (http://www.keaipublishing.com/dcan).

Prospective authors should submit an electronic copy to the DCN on-line manuscript system via www.editorialmanager.com/dcan according to the following timetable and choose the article type as “SI: EdgeCI”.

Time Table:

  • Manuscript Submissions Deadline: 20 December 2020
  • Initial Decision Notification: 1 April 2021
  • Final Decision Notification: 1 July 2021
  • Final Manuscript Deadline: 1 August 2021
  • Publication Date: December 2021

Guest Editors:

  • Dr. Ruidong Li, National Institute of Information and Communications Technology (NICT), Japan
  • Prof. Shiwen Mao, Auburn University, USA
  • Prof. Periklis Chatzimisios, International Hellenic University, Greece
  • Prof. Constandinos X. Mavromoustakis, University of Nicosia, Cyprus
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