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Hana B Pasandi <[log in to unmask]>
Mon, 9 Nov 2020 23:13:19 -0500
text/plain (128 lines)
****** We apologize if you receive multiple copies of this CFP *****

******* Submission Deadline Extension: December 5, 2020 *******

********** PerCom/SmartEdge 2021 will be virtual **********


Call For Papers
 ====================================================================================
The Fifth International Workshop on Smart Edge Computing and Networking
                             (SmartEdge 2021)
            http://www.people.vcu.edu/~tnadeem/SmartEdge21/
      In Conjunction with IEEE PerCom 2021 (http://www.percom.org/)
                        March 22, Kassel, Germany
 ====================================================================================

We are approaching a fundamental shift in the computational era as the
number of connected smart devices and Internet of Things (IoT) devices
(e.g., smartphones, tablets, smart watches, smart glasses, smart meters,
connected vehicles, etc.) are expected to exceed several billion in the
next few years. Recent studies show that it is expected that the amount of
data generated at the edge of the Internet by smart and IoT devices will be
vast, incredibly rich, extremely valuable, and becoming the key enabler for
data-rich edge systems and applications in several smart computing domains
like smart homes, connected health, and smart cities. SmartEdge has taken a
leading role in addressing data/systems/applications interests, challenges,
and research problems of the edge.

This year, SmartEdge's themes are: Intelligent Edge, and Green Edge. By
integrating the advances in smart devices and edge systems with the
advances in machine learning (ML) and artificial intelligence (AI), the
future role of smart edge systems, networks, and applications are becoming
limitless and it's expected to revolutionize the future of the world within
the next few years. Green Edge is a recent emerging research field arising
from the confluence of edge computing and engineering to make the computing
in the edge and in pervasive systems more productive and energy-efficient.
Green Edge mainly focuses on architectures and algorithms to support
energy-efficient edge operation, and distributed algorithms and
optimizations that makes the edge a major contributor to the overall energy
efficiency of the entire IoT ecosystem.

While SmartEdge'21 is inviting all submissions relevant to edge computing
and networking, we are encouraging submissions that more specifically
address the intelligent and green themes. Topics of interest include, but
are not limited to:
* Architecture, systems and applications of the edge.
* Architecture, OS, algorithms, and ML for intelligent and energy-efficient
edge operations.
* Green edge systems, applications and services
* Internet-of-Things, edge computing, and cloud computing.
* Programming models and toolkits for edge computing.
* Resource management, monitoring, and metering at the edge.
* Buffering, queuing, and caching at the edge.
* Edge-based data management and data analytics
* Theoretical foundations of machine learning for edge systems and
applications.
* Energy-efficient deep learning algorithms for edge computing.
* Machine learning and data-driven optimization for green edge
* Device-to-Device communication, 5G, and Co-existence of wireless
technologies at the edge.
* Wireless communications and networking architecture for machine learning
systems at the edge.
* Energy-aware system architecture and networking protocols for the edge.
* Energy-efficient data caching/storage/offloading at the edge.
* Low-power sensing, communication, and processing for the edge.
* Security and privacy for intelligent/green edge systems.
* Fault-tolerance, availability and replication for the edge.
* Human factors for edge computing.
* Augmented reality and virtual reality at the edge.
* Edge-based quality of service and quality of experience.
* Economic or performance tradeoffs for edge computing
* Distributed algorithms and optimizations, distributed OS concepts, and
distributed ML for energy efficiency IoT ecosystem.
* Distributed energy generation/harvesting, storage and consumption at the
edge.
* Using recyclable or biodegradable materials instead of hazardous
materials in IoT
* Applications for environmental sustainability, such as green
transportation, green home and green city
--------------------------------


Submission Guidelines
------------------------------
Authors are invited to submit original unpublished work, not currently
under review by other conferences, workshops, or journals. Full papers are
limited to a maximum length of 6 pages and must adhere to IEEE format (in
10pt font, double column, US Letter size, 8.5 x 11 inches), including text,
figures, and references. The authors can purchase one additional page for
the camera-ready version. The authors must follow the IEEE Computer Society
author guidelines. The IEEE conference Latex and Word templates can be
found at
https://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Papers must be submitted electronically as PDF files through the EDAS link
https://edas.info/N27746. Workshop papers will be included and indexed in
the IEEE digital libraries (Xplore). Each accepted workshop paper requires
a full PerCom registration (no registration is available for workshops
only).


Key Dates
-------------
Submission Deadline: December 5th, 2020 (Extended)
Acceptance Notification: January 5th, 2021
Camera-Ready Deadline: February 5th, 2021


Workshop Honorary Co-Chairs
----------------------------------------
Sumi Helal - Lancaster University, UK
Liming Chen - Ulster University, UK
Glenn Ricart - US Ignite, USA


Workshop Co-Chairs
----------------------------------------
Tamer Nadeem - Virginia Commonwealth University, USA
Zhiyong Yu - Fuzhou University, China
Yunji Liang - Northwestern Polytechnical University, China

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