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Mobile Edge Computing Meets AI

Edited by:
Lianyong QiChina University of Petroleum, China
Maqbool Khan: Software Competence Center Hagenberg, Austria
Qiang HeSwinburne University of Technology, Australia
Shui Yu: University of Technology Sydney, Australia
Wajid RafiqueUniversity of Calgary, Canada

Submission Status: Open   |   Submission Deadline: 3 February 2024 

Journal of Cloud Computing is calling for submissions to our Collection on 'Mobile Edge Computing Meets AI.' This Collection aims to highlight the cutting-edge research and applications in this field. 

About the collection

As a supplement of traditional cloud computing technology, mobile edge computing (MEC) has  recently emerged as a promising computing paradigm that offers end-users with low latency in  their access to applications deployed at the edge of the cloud, e.g., smart assistant, driverless cars,  smart manufacturing, etc. However, continuous monitoring and data collection by the smart  devices in MEC clients or servers have been generating an unprecedented volume of data which  create a main source of big data. How to deal with the big data from MEC applications in an  efficient, economical and secure manner is still a fundamental challenge. 

Recently, machine learning powered Artificial Intelligence (AI) has been recognized as a key  technology to realize intelligent data analyses. Therefore, AI has provided a promising way to  cope with the massive and heterogeneous data produced by MEC terminals. However, the  adaptation of AI-based approaches is highly demanded to achieve their full potentials in supporting the MEC applications, as MEC service systems often suffer from limited computing  capabilities, high energy cost and fast-changing context environment. Therefore, it still requires  challenging efforts to minimize the gap between MEC applications and AI technology.  

This Collection aims to highlight the cutting-edge research and applications related to the  “Mobile Edge Computing Meets AI”. Specific topics of interest include but are not limited to the  following: 

  • AI-based algorithms for MEC systems 
  • Smart collection, pre-processing and integration of MEC data 
  • Multi-modality MEC data fusion based on AI 
  • Intelligent scheduling or offloading of MEC data/resources 
  • QoS modeling and optimization of MEC services 
  • Smart communication among MEC clients and servers 
  • Security, trust and privacy-preservation of MEC applications 
  • Blockchain-powered MEC applications 
  • Architecture, models and protocols of hybrid Cloud-Fog-Edge 
  • AI-powered energy optimization and cost minimization in MEC 

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. 

Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Mobile Edge Computing Meets AI" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.