ImpactIApp
Application Life Cycle Assessment, at scale.

From a one-off Life-Cycle Analysis to day-to-day decision-making regarding a portfolio of several thousand applications.
This is an innovation project aimed at combining the scientific rigour of LCA with the practical realities faced by businesses, and tailoring it to their application portfolios, taking into account the widespread use of AI services.
LS2N
EVEA
Easyvirt
Easyvirt

A research–industry consortium

Aguaro — ImpactIApp consortium partner
CEA — ImpactIApp consortium partner
LS2N — Nantes Université — ImpactIApp consortium partner
Easyvirt — ImpactIApp consortium partner
EVEA — ImpactIApp consortium partner

Understand. Compare. Act.

We connect the rigour of life cycle assessment with the realities of digital teams. Our aim is to inform decisions about design, use and maintenance.

Conceptual allocation of shared resources across application services

From service to portfolio

Assess a service in detail, then make the methodology repeatable across thousands of applications: this is ImpactIApp’s research ambition.

A modern urban era

From service to portfolio

Assess a service in detail, then make the methodology repeatable across thousands of applications: this is ImpactIApp’s research ambition.

A modern urban era

From service to portfolio

Assess a service in detail, then make the methodology repeatable across thousands of applications: this is ImpactIApp’s research ambition.

Traceable data

Connect application inventories, observations and infrastructure measurements. Document sources, collection periods and data quality.

Conceptual matrix for multi-criteria environmental calculations
Conceptual data flows between services and shared computing resources

AI within the scope

Training, inference and shared resources: distinguish what is measured, estimated or still unknown when assessing a service.

Informed decisions

Informed decisions

Compare consistent scenarios, identify environmental hotspots and guide ecodesign, with explicit assumptions and uncertainties.

Compare scenarios, identify impacts and guide ecodesign, with explicit assumptions.

Conceptual matrix for multi-criteria environmental calculations
Conceptual matrix for multi-criteria environmental calculations

From data to decisions.

.01

Collect and harmonise

Connect inventories, monitoring tools and technical measurements. Retain the source, units and quality of each data point.

.02

Model and allocate

Link services to applications and shared resources. Make allocation rules explicit and limit double counting.

.03

Assess and interpret

Calculate impacts over a defined life cycle, compare scenarios and translate findings into documented opportunities for action.

Research aims, tested together.

Research aims, tested together.

ImpactIApp is an innovation project, not a claim of proven performance. Our research aims to make multi-criteria assessment transparent and useful to digital teams.

ImpactIApp is an innovation project, not a claim of proven performance. Our research aims to make multi-criteria assessment transparent and useful to digital teams.

Across architectures

Develop a framework for on-premises, cloud and hybrid architectures, with a documented assessment scope.

Across architectures

Develop a framework for on-premises, cloud and hybrid architectures, with a documented assessment scope.

Services and AI

Refine assessment around the service delivered and account for AI workloads.

Services and AI

Refine assessment around the service delivered and account for AI workloads.

Verifiable data

Automate data collection while retaining sources, assumptions and calculation versions.

Verifiable data

Automate data collection while retaining sources, assumptions and calculation versions.

Design scenarios

Explore the effects of technical choices before deployment and make the limits of projections explicit.

Design scenarios

Explore the effects of technical choices before deployment and make the limits of projections explicit.

Five partners. Complementary scientific and industrial expertise.

The consortium brings together application modelling, infrastructure instrumentation and environmental assessment.

Programme coordination, automation and integration into the ServiceNow ecosystem.

Software LCA expertise and development of assessment methods.

LS2N

Research into complex-system modelling and software verification.

Easyvirt

Infrastructure instrumentation and fine-grained energy measurement.

EVEA

LCA methodological expertise, calculation rules and alignment with relevant standards.

Decisions we aim to support.

Make findings useful for decisions, from application portfolio management to service ecodesign.

Inform portfolio management and service ecodesign.

Businesses and IT leaders

Manage

Understand portfolio footprints to prioritise investigations and inform technical decisions.

RESEARCH FOCUS

Service mapping

Data quality

Environmental hotspots

Documented decisions

Traceable assumptions

Businesses and IT leaders

Manage

Understand portfolio footprints to prioritise investigations and inform technical decisions.

RESEARCH FOCUS

Service mapping

Data quality

Environmental hotspots

Documented decisions

Traceable assumptions

Digital teams

Ecodesign

Compare design, use and maintenance choices against a consistent function and quality of service.

RESEARCH FOCUS

Comparable scenarios

AI-enabled services

Shared resources

Multiple impact categories

Explicit limitations

Digital teams

Ecodesign

Compare design, use and maintenance choices against a consistent function and quality of service.

RESEARCH FOCUS

Comparable scenarios

AI-enabled services

Shared resources

Multiple impact categories

Explicit limitations

Research and institutions

Share

Develop reproducible methods and knowledge that support more sustainable digital practices.

RESEARCH FOCUS

Documented protocols

Explicit assumptions

Shareable findings

Methodological review

European capabilities

Research and institutions

Share

Develop reproducible methods and knowledge that support more sustainable digital practices.

RESEARCH FOCUS

Documented protocols

Explicit assumptions

Shareable findings

Methodological review

European capabilities

Conceptual scientific dataflow field

“Measurement alone is not enough: the aim is to inform decisions about design, use and maintenance.”

Our guiding principle

ImpactIApp — a collaborative innovation project

Conceptual application allocation model
Conceptual matrix for multi-criteria environmental calculations
Conceptual data flows between services and shared computing resources

Help validate the methodology.

Do you manage an application portfolio or services that use AI? Let’s discuss your data, constraints and the decisions you need to inform.

Tell us about your context to prepare a discussion with the consortium.

Frequently asked questions.

Understand the project, its scope and how to contribute.

The project, its scope and your contribution.

What is ImpactIApp?

An innovation project bringing together five partners to develop a method and technical framework for life cycle assessment of applications and application services across portfolios.

What does LCA mean?

Life cycle assessment examines multiple environmental impacts within a defined scope and for a defined function. It goes beyond carbon emissions or electricity consumption alone.

Is artificial intelligence included?

Yes. The research considers training where relevant to the scope, inference and associated infrastructure. Rules for allocating impacts to services need to be made explicit.

Has performance already been demonstrated?

Scaling the methodology and enabling dynamic updates are research objectives to be validated. Assumptions, uncertainties and partial findings must remain visible.

Who is involved in the project?

The consortium brings together Aguaro, CEA, LS2N — Nantes Université, Easyvirt and EVEA. Their complementary roles are outlined in the Consortium section.

What will the findings be used for?

They aim to inform design, use and maintenance choices, compare consistent scenarios and identify the main sources of environmental impact.

How can we contribute to validation?

Digital teams can share their portfolio context, available observations and constraints. The form helps prepare an initial discussion about possible validation activities.

How will data be used?

Data scope, access conditions, confidentiality and arrangements for sharing findings must be agreed before any experimentation. No automatic compliance is assumed.

INNOVATION PROJECT

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Advancing application life cycle assessment.

Conceptual resource allocation flows

COLLABORATIVE VALIDATION

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Test the methodology against real-world needs.