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Recent Advancement in Edge and Fog Computing for Intelligent IoT Applications

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Marimuthu Karuppiah (kmarimuthu@ieee.org), School of Computer Science and Engineering, VIT University, India


With the rapid development and widespread penetration of artificial intelligence technology, a variety of novel mobile and intelligent Internet of Things (IoT) applications are emerging, such as mobile face recognition, smart video surveillance, flying ad hoc networks for precision agriculture, and smart homes. These intelligent applications are typically resource-hungry, run computationally-intensive machine learning algorithms (e.g., deep learning), and demand real-time processing. Due to physical size limitations, nevertheless, many mobile and IoT devices are in general resource-constrained with limited computing power, and often times cannot fulfil the stringent QoS requirements of these applications.
To mitigate these challenges, edge/fog computing has been proposed as a promising paradigm that leverages a multitude of collaborative end-user devices and near-user infrastructures to carry out a substantial amount of computation, storage, and communication tasks. As edge/fog computing is implemented at network edges, it promises low latency as well as agile computation augmenting services for device users. To successfully support intelligent IoT applications, therefore, there is a significant need for 1) exploring the efficient deployment of edge/fog computing services at the network edges, 2) investigating novel algorithms of efficient edge/fog resource allocation, and 3) designing collaborative and distributed architectures specialized for edge/fog computing.
This special issue in Open Computer Science seeks original research papers on the design, implementation, evaluation and deployment of systems that embody any aspect of edge/fog computing for intelligent IoT applications. Topics include, but are not limited to:

  • Distributed and/or light-weight machine learning frameworks and algorithms for edge/fog computing;
  • Edge/fog computing architectures for mobile and IoT data mining and analytics;
  • Efficient edge/fog-cloud integration for the support of intelligent IoT applications;
  • Edge/fog-based real-time IoT applications and quality of service;
  • Distributed edge/fog storage system for intelligent IoT applications;
  • 5G edge network slicing for intelligent IoT applications;
  • 5G virtual network function (VNF) chaining for edge/fog driven intelligent IoT applications;
  • 5G end-to-end latency optimization for edge/fog driven intelligent IoT applications;
  • Joint bandwidth and computing resource provisioning for edge/fog computing;
  • Deployment and management of edge/fog services;
  • Stochastic optimization, optimal control and game theoretic methods for distributed edge/fog resource scheduling and allocation;
  • Programming models and runtime systems for edge/fog computing;
  • Security and privacy issues in edge/fog computing;
  • Business models and economic issues for edge/fog computing.

The submitted papers will undergo peer review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.


Before submission authors should carefully read the Instruction for Authors:
Manuscripts can be written in TeX, LaTeX (strongly recommended) - the journal’s LATEX template. Please note that we do not accept papers in Plain TEX format. Text files can be also submitted as standard DOCUMENT (.DOC) which is acceptable if the submission in LATEX is not possible.
For an initial submission, the authors are strongly advised to upload their entire manuscript, including tables and figures, as a single PDF file.

All submissions to the Topical Issue must be made electronically via online submission system Editorial Manager:
All manuscripts will undergo the standard peer-review procedure (single blind, at least two independent reviews). When entering your submission via online submission system please choose the article type “TI on Edge and Fog Computing for Intelligent IoT Applications”.

Submissions to the Topical Issue are now open.
Individual papers will be reviewed and published online on an ongoing basis.

Important Dates (approx.):
Deadline for submissions:  April 30, 2019
1st round of acceptance notification:  July 30, 2019
Submission of revised papers:  September 30, 2019
2nd round of acceptance notification:  October 30, 2019

Publication online: December, 2019

Contributors to the Topical Issue will benefit from:

  • NO submission and publication FEES
  • indexation by Clarivate Analytics - Web of Science (ESCI) and Elsevier - SCOPUS
  • fair and constructive peer review provided by experts in the field
  • no space constraints
  • convenient, web-based paper submission and tracking system – Editorial Manager
  • free language assistance for authors from non-English speaking regions
  • fast online publication upon completing the publishing process
  • better visibility due to Open Access
  • long-term preservation of the content (articles archived in Portico)
  • extensive post-publication promotion for selected papers

We are looking forward to your submission!
In case of any questions please contact Dr. Justyna Żuk, Managing Editor of Open Computer ScienceJustyna.Zuk@degruyter.com.

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