[hpc-announce] Future Generation Computing Systems. - Special Issue on "Edge-Cloud solutions for Big Data analysis and distributed machine learning"

[JESUS CARRETERO PEREZ]

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SPECIAL ISSUE "EDGE-CLOUD SOLUTIONS FOR BIG DATA ANALYSIS AND
DISTRIBUTED MACHINE LEARNING"

FUTURE GENERATION COMPUTING SYSTEMS
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GUEST EDITORS

Prof. Domenico Talia, Prof. Jesus Carretero, and Prof. Loris Belcastro

TOPICS OF INTEREST

    * Edge-Cloud architectures and infrastructures for Big Data
analysis and machine learning;
    * Scalable and distributed machine learning algorithms for
edge-cloud computing environments;
    * Programming models for Big Data analytics on the edge-cloud environments;
    * Real-time data analytics on edge devices and cloud infrastructures;
    * Federated learning and transfer learning on edge-cloud architectures;
    * Security and privacy in edge-cloud computing for big data
analysis and machine learning;
    * Case studies and real-world applications of Big Data analysis
and machine learning in Edge-Cloud computing;
    * Edge-Cloud resource allocation and scheduling techniques for
efficient data processing;
    * Edge-Cloud integration with blockchain technology for secure and
decentralized data processing;
    * Energy-efficient edge-cloud computing solutions;
    * Edge-cloud solutions for autonomous vehicles and smart
transportation systems;
    * Performance optimization and load balancing in Edge-Cloud architectures;
    * Emulation and/or simulation approaches for testing and
evaluating large scale Edge-Cloud applications;
    * Edge-Cloud solutions for augmented and virtual reality applications;
    * Edge-Cloud solutions for smart grid systems and renewable energy
integration;
    * Edge-Cloud solutions for smart healthcare systems and medical
applications;
    * Edge-Cloud solutions for disaster response and emergency
management systems.

IMPORTANT DATES
    * Deadline for paper submission: Nov 30, 2023
    * Latest acceptance deadline for all papers: Feb 29, 2024


It is worth mentioning that, in order to reduce decision time, papers
will be processed as soon as they arrive, without waiting for the
deadline of the special issue.


SUBMISSION INSTRUCTIONS

The FGCS’s submission system
(https://www.editorialmanager.com/FGCS/default.aspx ) is now open for
submissions to our Special Issue from May 20, 2023. When submitting
your manuscript please select the article type VSI: Edge-Cloud for Big
Data.

All submissions deemed suitable by the editors to be sent for peer
review will be reviewed by at least two independent reviewers. Once
your manuscript is accepted, it will go into production to be
published in the special issue. Accepted articles published will be
grouped together on ScienceDirect, making it easier for other
researchers in our community to discover your work.