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ICC 2024 GreenNet Workshop 2024 : 3rd International Workshop on Green and Sustainable Networking (GreenNet 2024) - Announcement and CfP

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Link: https://ws11icc2024workshop-greennet.edas.info/
 
When Jun 9, 2024 - Jun 13, 2024
Where Denver, CO, USA
Submission Deadline Jan 20, 2024
Notification Due Mar 6, 2024
Final Version Due Mar 15, 2024
Categories    computer science   engineering   green networking   wireless
 

Call For Papers

Third International Workshop on Green and Sustainable Networking
(GreenNet 2024)
https://sites.google.com/view/greennet2024/

Co-located with IEEE ICC 2024, Denver, CO, 9Ð13 June 2024

Call for Papers

Energy efficiency and sustainability have become of paramount importance
in all human activities, including the information and communication
technology sector. The trade-off between availability, resiliency,
programmability, and energy efficiency of networks and services is a key
challenge for the next decade and monitoring methods and metrics for
power consumption, energy efficiency, as well as sustainability are
important, as well as benchmarking of solutions based on well-defined
KPIs. For that reason, the goal of the GreenNet Workshop is to address
emerging concepts and challenges related to energy efficiency and
sustainability for networked services. An improved sustainability in all
parts of the network, in a time of increasing AI/ML usage, evolution of
different novel network access technologies, the spreading of edge
computing and micro-data centers, and the demand in computational and
data transport capacity across the edge-cloud continuum, is essential.

We solicit original papers on the following (and related) topics:
Topics of Interest

- Traffic modeling and prediction for performance and power representation
Analytical models of network, base station, and cloud power consumption
Accuracy and granularity of traffic prediction models
- Network and device management and control mechanisms
Optimization of trade-offs between energy consumption, efficiency,
availability, resilience, sustainability, and performance
APIs for power management interfaces
Timing, scheduling, and orchestration of sleep modes in various
network parts
Decentralized energy management, e.g., using distributed ledger
technologies
- Usage of digital twins to improve future networks energy consumption
and efficiency
- Network measurements and simulations for sustainable and energy
efficient future networks
- Benchmarking of energy efficiency and sustainability solutions
- Holistic views on networks, applications, or services from network
access to data center
- Emerging networking concepts and technologies to improve energy
consumption/efficiency
Sensor and industrial automation networks
Energy efficiency in 5G and 6G and Quality of Information improvement
Low Power Wide Area Networks
Improvement for wireless and wired network access including cable
access networks
Intelligent data pre-selection, data storage, or data aggregation
approaches to avoid traffic overhead or unnecessary transmissions
Multi-technology network access and multi-path support over multiple
wireless technologies for access traffic steering, switching, splitting
Mutual roles in energy saving of satellite, terrestrial and
non-terrestrial networks
Distributed data processing with cloud, edge cloud, fog, or
serverless computing
Energy-saving Internet protocols
Energy efficient Radio Access Networks (RANs) and O-RAN
Delay tolerant networking
Power and relay reduction techniques for signal propagation in fiber
Application of quantum communication and computing to improve energy
efficiency
Efficiency in data center and CDN operations
- AI/ML techniques in the context of energy consumption and efficiency
For power and performance management in virtualized environments
For energy efficiency in slicing, fog/cloud MEC virtualization,
self-x technologies, adaptation, automation, and zero-touch
To improve general energy efficiency and sustainability of networks
and the AI/ML techniques themselves
Usage of AI/ML for sustainable and energy efficient network management
- Architectural solutions toward network sustainability
Use of renewable energy or energy harvesting by network
infrastructure and devices with high energy consumption
Heterogeneous cell coverage (macro, micro, pico, femto) for energy
efficiency improvements
Power-aware network slicing
Role of the edge to support energy sustainable infrastructure
Optimized placement of computational, communication, and cooling
facilities
- Role of software in reducing network energy consumption and carbon
footprint
Using SDN/NFV concepts to improve network sustainability
Comparison of virtualized and bare metal solutions
- Coping with the end of MooreÕs law
- Role of standardization including network energy efficiency and
sustainability metrics
- Consideration of carbon emissions or lifecycle of devices

Important Dates
Workshop Paper Submission Deadline: 20 January 2024
Workshop Paper Acceptance Notification: 6 March 2024
Camera Ready: 15 March 2024
Registration Due for Accepted Papers: 15 March 2024
GreenNet 2024 Workshop: 9 June 2024

Authors are invited to submit original contributions (written in
English) in PDF format. Only original papers not published or submitted
for publication elsewhere will be considered for the workshop. Only PDF
files will be accepted for the review process and all manuscripts must
be electronically submitted through EDAS at
https://ws11icc2024workshop-greennet.edas.info/. See also the ICC 2024
Workshop website at
https://icc2024.ieee-icc.org/workshop/ws-11-third-international-workshop-green-and-sustainable-networking-greennet.

Organizing Committee:
Franco Davoli, University of Genoa and CNIT S2N National Lab, Italy
(franco.davoli@unige.it)
Hesham ElBakoury, Independent Consultant, Santa Clara, CA, USA
(helbakoury@gmail.com)
Timothy O'Farrell, University of Sheffield, UK (t.ofarrell@sheffield.ac.uk)
Tobias Ho§feld, University of WŸrzburg, Germany
(tobias.hossfeld@uni-wuerzburg.de)
Frank Loh, University of WŸrzburg, Germany (frank.loh@uni-wuerzburg.de)
Chiara Lombardo, University of Genoa and CNIT S2N National Lab, Italy
(chiara.lombardo@unige.it)

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