[AISWorld] Call for Papers (Q1 Journal): Emerging Trends and Challenges in Edge-Fog-Cloud Interplay in the Internet of Things (IoT)

[IEEE COINS Conference]

*Emerging Trends and Challenges in Edge-Fog-Cloud Interplay in the Internet
of Things (IoT)*


Elsevier Information Systems (Q1)

Submission Deadline: June  15, 2020
https://www.journals.elsevier.com/information-systems/call-for-papers/emerging-trends-and-challenges




The Intelligent Internet of Things (IoT) tsunami and public embracement,
and the ubiquitous adoption of devices in virtually every industry is
affecting every aspect of life, ranging from smart cars, smart homes, smart
cities, smart factories to smart health, and smart environments. The
integration of IoT and Cloud Computing has created another paradigm, the
cloud IoT, to address some of the major challenges of IoT, such as advanced
analytics capabilities and big data storage. However, in the cloud IoT
model, the massive amount of data coming from “smart things” needs to be
uploaded to the cloud, demanding a considerable amount of available
communication bandwidth. Cloud-based IoT model cannot meet the strict
computing time requirement in latency-critical applications requiring a
real-time operation. An excellent example of such a case is eHealth
applications such as arrhythmia monitoring and classification in which
volume, variety, and velocity, as well as end-to-end response time and
communication bandwidth, should be handled efficiently. Edge or Fog
Computing has emerged as a solution to address the drawbacks of Cloud-based
IoT solutions in which computing and storage resources are located not only
in the cloud but also at the edges near the source of data. Hierarchical
collaborative edge-fog-cloud architecture brings tremendous benefits as it
makes possible to distribute the intelligence and computation —including
data analysis, machine learning (ML) training, and decision making—to
achieve an optimal solution while satisfying the given constraints (i.e.,
optimization for energy versus optimization for latency) of each use case.
However, due to the hierarchical, cross-layer, and distributed nature of
this IoT model, many challenges from smart things, to network,
architecture, algorithms/software, and security still need to be addressed
to develop consistent, suitable, scalable, safe, flexible and
power-efficient systems. The main objective of this Special Issue (SI) is
to address all important aspects of emerging technologies for
edge-fog-cloud computing in IoT covering architectures, techniques,
protocols, policies, applications, distributed machine learnings, as well
as the interaction between edge, fog and cloud analytics.  Authors are
invited to submit high-quality papers containing original work from either
academia or industry reporting novel advances in (but not limited to) the
following topics:



   - Distributed architectures and reference models.
   - Resource Management Mechanisms.
   - Service placement, migration and adaptation.
   - Low-latency High-reliability energy-efficient network protocols and
   communications in edge-fog-cloud.
   - The impact of 5G technology on edge-fog-cloud interplay.
   - Edge-fog-cloud management protocols and policies for workload
   communication and distribution.
   - Privacy and security issues including secure firmware, communications,
   and strategies to detect and mitigate attacks, as well as Over the air
   updates for safety IoT devices.




   - Trust-Oriented Designs of next-generation hierarchical IoT systems.
   - Optimization of the utility-privacy tradeoffs.
   - Big-data analytics, machine learning algorithms, and
   scalable/parallel/distributed algorithms.
   - Collaborative distributed machine learning and data analytics from
   Edge to Fog and Cloud.
   - Privacy-preserving Machine Learning and Data Processing solutions in
   hierarchical IoT solutions.
   - Privacy-Preserving Machine Learning (PPML) and Multi-party computation
   (MPC) techniques.
   - Performance monitoring & evaluation.
   - Real-world experiences and use cases (eHealth, automotive,
   transportation and logistics, retail, industry 4.0, etc.)



*Important Dates*

Submissions Deadline: June 15, 2020

Revision Due: September 15, 2020

Final Manuscript Due: October 30, 2020

First Reviews Due: August 15, 2020

Second Reviews Due/Notification: October 15, 2020

Publication Date: 2020



*Submission Guidelines*

Solicited original submissions must not be currently under consideration
for publication in other venues. Author guidelines are at
https://www.journals.elsevier.com/information-systems/.

*Guest Editors*

*Farshad Firouzi*, Duke University

*Sebastián Ventura, *University of Córdoba

*Bahar Farahani*, Shahid Beheshti University

*Alysson Bessani,* Universidade de Lisboa




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You might also be interested in our IEEE Conference (IEEE IoT, IEEE CAS,
IEEE RAS, IEEE CEDA, IEEE ComSoc).  Selected best papers will also be
published in SIs: https://coinsconf.com/

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