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CBET-EPSRC: TECAN - Telemetry-Enabled Carbon Aware Networking

Lead Research Organisation: UNIVERSITY OF OXFORD
Department Name: Engineering Science

Abstract

Addressing climate change is of existential importance. Although there are many contributing factors, energy production and consumption has one of the most direct impacts on the environment. A significant portion of this can be attributed to computer networks, with some reports estimating that they consume 1.5x the energy of all data centres. However, in contrast to other large scale compute infrastructure, accounting for the carbon emissions of the network is extremely hard. A traffic flow can cross multiple administrative domains in different regions of the world, be processed in devices powered by different energy sources, and share the energy consumption with tens of thousands of other traffic flows.

The goal of this project is to quantify, and subsequently reduce, the carbon emissions of computer networks. Concretely, it proposes a comprehensive research agenda that will: (1) identify metrics that cover the end-to-end environmental cost of data transmission; (2) leverage programmable network elements to collect and report the metrics by developing novel carbon-intelligent network telemetry solutions; and (3) design novel, carbon-aware network routing algorithms that utilize the measurements. Overall, the project will enable accurate accounting of computer networks' carbon emissions and develop novel routing algorithms to minimize the carbon emissions of the Internet, combating climate change.

If successful, the project will help us meet the targets established by the UK government, which has committed to achieving 'net-zero' by 2050. Specifically, it will help communication providers to minimize their carbon emissions; enable policy makers to reliably check that companies meet government's net-zero goals; and allow consumers to choose communications and ICT providers based on their sustainability claims.

Publications

10 25 50
 
Description IETF121 - Real Time Telemetry for Carbon Aware Networking
Geographic Reach Multiple continents/international 
Policy Influence Type Contribution to new or improved professional practice
Impact IEFT/IRTF activity just started
URL https://datatracker.ietf.org/meeting/121/session/hotrfc
 
Description IRTF SUSTAIN
Geographic Reach Multiple continents/international 
Policy Influence Type Contribution to new or improved professional practice
Impact First workgroup activity in IETF-121, with upcoming meeting in every IETF meeting (three times a year).
URL https://www.irtf.org/sustain.html
 
Description IRTF SUSTAIN - Carbon Aware Networking Challenges and Opportunities
Geographic Reach Multiple continents/international 
Policy Influence Type Contribution to new or improved professional practice
URL https://datatracker.ietf.org/meeting/123/materials/slides-123-sustain-carbon-aware-networking-challe...
 
Description CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research
Amount £3,028,049 (GBP)
Funding ID EP/X040518/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2023 
End 05/2026
 
Description GeCo: Siemens-TUB-Oxford Seed Funding 
Organisation Siemens AG
Country Germany 
Sector Private 
PI Contribution Developing scalable, robust and sustainable generative communication networks for optimised AI deployment across industrial applications through advanced algorithms, programmable networks, and carbon-aware infrastructure. We led the sustainability and programmable networks part of the collaboration.
Collaborator Contribution Developing scalable, robust and sustainable generative communication networks for optimised AI deployment across industrial applications through advanced algorithms, programmable networks, and carbon-aware infrastructure. Siemens led the use case development. TU Berlin led the algorithms and theory part of the collaboration.
Impact Not yet. Paper under submission for publication.
Start Year 2025
 
Description GeCo: Siemens-TUB-Oxford Seed Funding 
Organisation Technical University Berlin
Country Germany 
Sector Academic/University 
PI Contribution Developing scalable, robust and sustainable generative communication networks for optimised AI deployment across industrial applications through advanced algorithms, programmable networks, and carbon-aware infrastructure. We led the sustainability and programmable networks part of the collaboration.
Collaborator Contribution Developing scalable, robust and sustainable generative communication networks for optimised AI deployment across industrial applications through advanced algorithms, programmable networks, and carbon-aware infrastructure. Siemens led the use case development. TU Berlin led the algorithms and theory part of the collaboration.
Impact Not yet. Paper under submission for publication.
Start Year 2025
 
Title CICS - Carbon-Intelligent Content Scheduling 
Description The algorithm described in this application optimizes the delivery schedule of content to CDN sites. Prepositioning content is common in CDNs especially for static content like movies, series and software updates. This algorithm embeds the concept of carbon-intelligence in the scheduling of this content delivery. 
Type Of Technology Webtool/Application 
Year Produced 2025 
Open Source License? Yes  
Impact Not yet. 
URL https://github.com/ox-computing/CICS
 
Title Measurements2Emissions 
Description Carbon tracing at the flow level requires visibility in the network. The carbon cost of the flow should be traced at each device along the path of this flow. This is an application for flow-level carbon estimation. The project has two parts: (1) a power measurements part done on three types of switches and (2) a simulation part using the ns-3 simulator tool to quantify the scale of carbon per flow in a real network topology. 
Type Of Technology Webtool/Application 
Year Produced 2025 
Open Source License? Yes  
Impact Currently being implemented on JOINER for wider adoption 
URL https://github.com/ox-computing/Measurements2Emissions
 
Title SWW-AI 
Description SWW, or the Small World Web, reimagines the web by sending prompts instead of content. It uses generative AI to turn the prompts into content on the user's device. This repository contains the code developed to demonstrate SWW, and included in its publication: Noa Zilberman and Alex Jackson. "The Small World Web of AI". ACM HotNets 2025. https://doi.org/10.1145/3772356.3772420 
Type Of Technology Webtool/Application 
Year Produced 2025 
Open Source License? Yes  
Impact Not yet. 
URL https://github.com/ox-computing/SWW-AI
 
Description Dagstuhl Seminar 24402 Organisation 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Dagstuhl Seminar 24402 - Greening Networking: Toward a Net Zero Internet

What is the path towards a Net Zero Internet? Reducing carbon emissions to slow climate change is one of mankind's greatest challenges. Networking technology is key to that challenge - as a provider for solutions (such as enabling teleworking and reducing travel), but also as a contributor to greenhouse gas emissions, e.g. through significant power consumption. It is thus becoming important to make networks themselves "greener" and devise solutions that result in less carbon-intensity while continuing to meet increasing network traffic demands and service requirements. Complicating the matter, energy consumption relates to CO2 emissions in ways that vary a lot by network operators (through the use of "clean" energy).

Many of today's improvements are driven by general advances in computing hardware as well as in transmission technology (antennas, lasers). While this is where the biggest opportunities for energy reduction may lie, it is important to extend questions of greenness to other aspects of carbon reduction, both temporal and spatial, and to other layers in the networking stack - to the data and control plane, to routing and traffic forwarding, to the ways in which networks are organized and deployed. For example, can network protocols be designed in ways that make them more carbon-efficient, e.g. by routing along a path that is primarily powered by renewable energy, so as to reduce CO2 emissions with proper path selection? Can control planes be designed in a way that allows to rapidly decommission resources that may currently not be needed without compromising other important goals such as network resilience or security? How much overhead is introduced by current architectures and protocols for cloud computing, media streaming, and content distribution and what is the energy conservation potential of alternative systems? What protocol advances could enable greener networking solutions? How can networks be optimized not just for QoS or utilization but for low environmental impact?

The goal of this Dagstuhl Seminar was to bring together researchers of different perspectives with a vested interest on this topic, exchange ideas, and explore possibilities for synergy in their respective research directions. We wish to identify and prioritize the most impactful networking improvement to reduce carbon emission, define action items for a carbon-aware networking research agenda, and foster/facilitate research collaboration in order to reduce carbon emissions and to positively impact climate change.

This seminar was organized into sessions pertaining to these themes, with presentations from leading researchers drawn from the invitees. Researchers in the six main topics - devices, protocols, metric, measurement, architecture, management - are invited to participate.

The outcome of the seminar was to identify mechanisms to quantify (at the device, protocol, architecture levels) the carbon footprint of a network. This involves considering measurement tools, metrics, and management of the network. We defined a roadmap to deploy these tools into practical network settings and into standardization efforts. Additionally, we considered the key research items that would yield the most impact.
Year(s) Of Engagement Activity 2024
URL https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/24402
 
Description Engineers without borders - Carbon Intelligent Computing: Saving the Planet Bit-by-Bit 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Undergraduate students
Results and Impact A seminar for Engineers without Borders - Oxford branch.
This student organisation aims to embed globally responsible engineering alongside what they learn in the lecture hall, connecting students across the university.
About 15 students attended the seminar, presented by Prof Zilberman, which was followed by an hour long discussion of considerations, potential internships, ways to act and more.
Year(s) Of Engagement Activity 2024
URL https://www.ewb-uk.org/inspire/chapters/ewb-oxford/