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ICC 2025 GreenNet Workshop 2025 : Call for Papers: Fourth International Workshop on Green and Sustainable Networking (GreenNet 2025)

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When Jun 8, 2025 - Jun 12, 2025
Where Montreal, Canada
Submission Deadline Jan 25, 2025
Notification Due Mar 10, 2025
Final Version Due Mar 31, 2025
 

Call For Papers


Call for Papers

Fourth International Workshop on Green and Sustainable Networking (GreenNet 2025)
In conjunction with IEEE International Conference on Communication (ICC) 2025, 8–12 June 2025 // Montreal, Canada

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.

See also: ICC 2025 Call for Workshop Paper, which includes author and submission guidelines.

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 (ATSS)
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
Impact of Non-Terrestrial-Network regenerative mode on O-RAN energy efficiency
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
Intelligent spectrum usage and spectrum sharing
Energy efficient wireless optical communication
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
Techniques to reduce the energy consumed by the power hungry AI/ML and LLM training
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 Moore’s law
Role of standardization including network energy efficiency and sustainability metrics
Consideration of carbon emissions or lifecycle of devices

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. See also: ICC 2025 Call for Workshop Paper, which includes author and submission guidelines. Only PDF files will be accepted for the review process and all manuscripts must be electronically submitted through EDAS. The EDAS link for paper submission: https://edas.info/N33189

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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