Managing Uncertainties in ICT Services Life Cycle Assessment using Fuzzy Logic

Guégain, Édouard; Simon, Thibault; Rahier, Alban; Rouvoy, Romain

Type de document :

Communication dans un congrès avec actes

Titre :

Managing Uncertainties in ICT Services Life Cycle Assessment using Fuzzy Logic

Auteur(s) :

Guégain, Édouard [Auteur]
Simon, Thibault [Auteur]
Orange Labs R&D [Rennes]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rahier, Alban [Auteur]
Rouvoy, Romain [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]

Titre de la manifestation scientifique :

ICT4S'24 - 10th International Conference on ICT for Sustainability

Ville :

Stockhlom

Pays :

Suède

Date de début de la manifestation scientifique :

2024-06-24

Éditeur :

IEEE

Mot(s)-clé(s) en anglais :

Data Quality Indicator
Fuzzy Logic
Life Cycle Assessment
Life Cycle Inventory
Uncertainty

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

The deluge of new software services we are facing is associated with an expansion of supporting infrastructures, including networks and data centers, and a rapid renewal of end-user devices. However, this surge is accompanied ...
Lire la suite >The deluge of new software services we are facing is associated with an expansion of supporting infrastructures, including networks and data centers, and a rapid renewal of end-user devices. However, this surge is accompanied by significant environmental impacts and encompassing factors, such as CO2e emissions or the depletion of rare metals and minerals. Given systems’ complexity and rapid evolution, the ICT domain still struggles to understand its environmental impact and lacks openly available data to facilitate such assessments. Indeed, to the best of our knowledge, environmental impact assessments of ICT services have to deal with high margins of errors, which are insufficiently quantified and documented, yet wield a significant influence on the final estimation outcome. This paper, therefore, introduces an approach leveraging fuzzy logic to model and propagate uncertainties from the reference impact through the computations to the final results, encouraging their consideration by stakeholders. Adhering to the established three-tier architecture used to conduct ICT services Life Cycle Assessments (LCA), we outline how assumptions can be mapped to fuzzy sets. We conclude with an illustrative example demonstrating the propagation of uncertainties throughout the environmental impact modeling process.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Service de recommandation pour des logiciels en ligne plus durables

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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