-------- Weitergeleitete Nachricht -------- Betreff: [InternetTC] (DEADLINE EXTENDED) 3rd International Workshop on Green and Sustainable Networking (GreenNet 2024) - Announcement and CFP Datum: Mon, 22 Jan 2024 13:28:58 -0800 Von: Hesham ElBakoury helbakoury@GMAIL.COM An: itc@COMSOC.ORG

*Paper submission Deadline is extended to Feb 4th 2024.*

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

Co-located with IEEE ICC 2024, Denver, CO, 9-13 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: 4th of February 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/ https://ws11icc2024workshop-greennet.edas.info/. See also the ICC 2024 Workshop website at https://icc2024.ieee-icc.org/workshop/ws-11-third-international-workshop-gre... 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 mailto:franco.davoli@unige.it) Hesham ElBakoury, Independent Consultant, Santa Clara, CA, USA (helbakoury@gmail.com mailto:helbakoury@gmail.com) Timothy O'Farrell, University of Sheffield, UK (t.ofarrell@sheffield.ac.uk mailto:t.ofarrell@sheffield.ac.uk) Tobias Ho§feld, University of WŸrzburg, Germany (tobias.hossfeld@uni-wuerzburg.de mailto:tobias.hossfeld@uni-wuerzburg.de) Frank Loh, University of WŸrzburg, Germany (frank.loh@uni-wuerzburg.de mailto:frank.loh@uni-wuerzburg.de) Chiara Lombardo, University of Genoa and CNIT S2N National Lab, Italy (chiara.lombardo@unige.it mailto:chiara.lombardo@unige.it)

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