IEEE Systems, Man and Cybernetics Magazine - July 2022 - 6

Editorial
by Haibin Zhu
More Diverse
Investigations and
More Collaborations
Make More
Contributions to the
Community
T
hanks to all the contributing
authors for this issue. We collected
six high-quality technical
articles for it, which signified a new
pace of the development of IEEE Systems,
Man, and Cybernetics Magazine.
I hope that we continue this
pace to advance the magazine and
provide more innovative technological
articles to our readers, with the support
of energetic author groups. This
issue presents articles across multiple
disciplines. I believe the content can
reach and attract varieties of readers
across the IEEE Systems, Man, and
Cybernetics Society. The presented
research results are from the fields
of computing, the Internet of Things
(IoT), artificial intelligence (AI), data
analytics, and control technology. The
other important feature of this issue is
that half of the articles were produced
by international collaborations, demonstrating
the effectiveness and significance
of collaborative research.
The first article in this issue, " Evolution
in Computing Paradigms for Internet
of Things-Enabled Smart Grid Applications:
Their Contributions to Power
Systems, " is a collaboration among different
countries and fields, where reDigital
Object Identifier 10.1109/MSMC.2022.3178557
Date of current version: 15 July 2022
6
Haibin Zhu
searchers M. Shahidehpour and Farrokh
Aminifar are from the University of Tehran,
Iran; Fargol Nematkhah is from the
Illinois Institute of Technology, Chicago;
and Sasan Mokhtari is from industry
through Open Access Technology
International, Minneapolis, Minnesota.
The authors argue that an excessive
number of connected devices and unprecedented
large volumes of data have
triggered significant advances in computing
technologies to leverage collected
data for establishing novel services.
Therefore, cloud, edge, and fog solutions
have been developed to provide data
processing, storage, and networking to
IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE July 2022
fulfill ever-changing application requirements.
They present attempts to push
data processing closer to the edge of networks,
where potential data producers and
consumers reside. They think that the
evolving paradigm of computing methods
has enabled innovative data-based
solutions in a variety of sectors, such as
services, economics, energy, and production.
They predict that power systems are
undergoing transformative changes with
computational shifts. They deduce that
extensive perception of nondispatchable
generation resources, electric vehicles,
and storage systems takes place
at various levels of power systems, especially
at the edge of the grid.
To catch up with technological evolution,
the authors believe that distributed
frameworks enable the management
and alignment of consumer-owned
energy resources to maintain electricity's
secure and reliable provision. They
argue that emerging computing paradigms
have substantially contributed
to a seamless interface among normal
power systems and that the future grid
will be realized under the smart grid
paradigm. They illustrate transformations
of computing patterns in chronological
order, including associated architectures,
such as clouds, edges, and
fogs; use cases in various infrastructures;
and support to power systems.
They also discuss quantum computing
as a direction of future research, which
can massively impact the energy sector.
The second article, " Toward Named
Data Networking: An Approach Based
the Internet of Things Cloud With Edge
Assistance, " is contributed by Xiaonan
Wang and Xinyan Qian, Changshu Institute
of Technology, China. The authors
believe that the IoT aims to improve
the quality of human life by delivering
collected data efficiently for real-time
monitoring. With the increasing complexity
of data, it is hard for an individual
IoT device to produce information by
IEEE Systems, Man and Cybernetics Magazine - July 2022

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