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DTSTART;VALUE=DATE:20250608
DTEND;VALUE=DATE:20250613
DTSTAMP:20260421T204054
CREATED:20241114T150922Z
LAST-MODIFIED:20241114T151103Z
UID:24063-1749340800-1749772799@smart-networks.europa.eu
SUMMARY:Fourth International Workshop on Green and Sustainable Networking (GreenNet 2025)
DESCRIPTION:Fourth International Workshop on Green and Sustainable Networking (GreenNet 2025)\nIn conjunction with IEEE International Conference on Communication (ICC) 2025\,  8–12 June 2025 // Montreal\, Canada \nEnergy 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. \nSee also: ICC 2025 Call for Workshop Paper\, which includes author and submission guidelines. \nImportant Dates \n\nWorkshop Paper Submission Deadline: 25 January 2025\nWorkshop Paper Acceptance Notification: 28 February 2025\nCamera Ready: 15 March 2025\nRegistration Due for Accepted Papers: tbd\nGreenNet 2025 Workshop: 8 and/or 12 June 2025\nICC 2025 conference: 8–12 June 2025 // Montreal\, Canada\n\nTopics of Interest \n\nTraffic modeling and prediction for performance and power representation\n\nAnalytical models of network\, base station\, and cloud power consumption\nAccuracy and granularity of traffic prediction models\n\n\nNetwork and device management and control mechanisms\n\nOptimization of trade-offs between energy consumption\, efficiency\, availability\, resilience\, sustainability\, and performance\nAPIs for power management interfaces\nTiming\, scheduling\, and orchestration of sleep modes in various network parts\nDecentralized energy management\, e.g.\, using distributed ledger technologies\n\n\nUsage of digital twins to improve future networks energy consumption and efficiency\nNetwork measurements and simulations for sustainable and energy efficient future networks\nBenchmarking of energy efficiency and sustainability solutions\nHolistic views on networks\, applications\, or services from network access to data center\nEmerging networking concepts and technologies to improve energy consumption/efficiency\n\nSensor and industrial automation networks\nEnergy efficiency in 5G and 6G and Quality of Information improvement\nLow Power Wide Area Networks\nImprovement for wireless and wired network access including cable access networks\nIntelligent data pre-selection\, data storage\, or data aggregation approaches to avoid traffic overhead or unnecessary transmissions\nMulti-technology network access and multi-path support over multiple wireless technologies for access traffic steering\, switching\, splitting (ATSS)\nMutual roles in energy saving of satellite\, terrestrial and non-terrestrial networks\nDistributed data processing with cloud\, edge cloud\, fog\, or serverless computing\nEnergy-saving Internet protocols\nEnergy efficient Radio Access Networks (RANs) and O-RAN\nImpact of Non-Terrestrial-Network regenerative mode on O-RAN energy efficiency\nDelay tolerant networking\nPower and relay reduction techniques for signal propagation in fiber\nApplication of quantum communication and computing to improve energy efficiency\nEfficiency in data center and CDN operations\nIntelligent spectrum usage and spectrum sharing\nEnergy efficient wireless optical communication\n\n\nAI/ML techniques in the context of energy consumption and efficiency\n\nFor power and performance management in virtualized environments\nFor energy efficiency in slicing\, fog/cloud MEC virtualization\, self-x technologies\, adaptation\, automation\, and zero-touch\nTo improve general energy efficiency and sustainability of networks and the AI/ML techniques themselves\nUsage of AI/ML for sustainable and energy efficient network management\nTechniques to reduce the energy consumed by the power hungry AI/ML and LLM training\n\n\nArchitectural solutions toward network sustainability\n\nUse of renewable energy or energy harvesting by network infrastructure and devices with high energy consumption\nHeterogeneous cell coverage (macro\, micro\, pico\, femto) for energy efficiency improvements\nPower-aware network slicing\nRole of the edge to support energy sustainable infrastructure\nOptimized placement of computational\, communication\, and cooling facilities\n\n\nRole of software in reducing network energy consumption and carbon footprint\n\nUsing SDN/NFV concepts to improve network sustainability\nComparison of virtualized and bare metal solutions\n\n\nCoping with the end of Moore’s law\nRole of standardization including network energy efficiency and sustainability metrics\nConsideration of carbon emissions or lifecycle of devices\n\nAuthors 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. \nOrganizing Committee:\nFranco Davoli\, University of Genoa and CNIT S2N National Lab\, Italy\n(franco.davoli@unige.it)\nHesham ElBakoury\, Independent Consultant\, Santa Clara\, CA\, USA\n(helbakoury@gmail.com)\nTimothy O’Farrell\, University of Sheffield\, UK (t.ofarrell@sheffield.ac.uk)\nTobias Ho§feld\, University of WŸrzburg\, Germany\n(tobias.hossfeld@uni-wuerzburg.de)\nFrank Loh\, University of WŸrzburg\, Germany (frank.loh@uni-wuerzburg.de)\nChiara Lombardo\, University of Genoa and CNIT S2N National Lab\, Italy\n(chiara.lombardo@unige.it
URL:https://smart-networks.europa.eu/event/fourth-international-workshop-on-green-and-sustainable-networking-greennet-2025/
CATEGORIES:Other Event
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250610T150000
DTEND;TZID=Europe/Berlin:20250610T220000
DTSTAMP:20260421T204054
CREATED:20250522T101921Z
LAST-MODIFIED:20250522T101921Z
UID:25934-1749567600-1749592800@smart-networks.europa.eu
SUMMARY:Telco AI Forum 2025
DESCRIPTION:The Telco AI Forum 2025\, organized by RCR Wireless News\, will take place virtually on 10 June 2025. This event focuses on the evolving role of artificial intelligence in the telecommunications sector\, highlighting the transition from experimental stages to practical deployments. The forum features expert panels\, case studies\, and discussions with industry leaders\, providing a platform to understand AI-ready infrastructure\, business models centered around Generative AI\, and optimization of AI workloads through GPUs and CPUs. \nKey topics include: \n\nRefining AI and GenAI business cases\nScaling AI across networks and operations\nThe role of agentic AI in telecoms\nEdge AI and network architecture considerations\nThe shift to autonomous\, self-healing networks\n\nAlexandros Kaloxylos\, Executive Director of 6G-IA will be one of the speakers in the panel  “Will AI be pivotal in 6G developments?”\, sharing his insights on the future of AI integration within next-generation networks. \nThis event offers an opportunity to learn from communication service providers and technology innovators about real-world AI implementations and the path toward AI-native\, self-optimizing telecom networks. \nYou can register here.
URL:https://smart-networks.europa.eu/event/telco-ai-forum-2025/
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