Note: Hal-04920612v1. Online First.
Keywords: Green, Generative AI, Life Cycle Analysis, Digital services, Greenhouse Gas Emission, Energy, Sustainability.
@Article{ ArticleBerthelot.BCJL_CA25,
author = {Berthelot, Adrien and Caron, Eddy and Jay, Mathilde and Lef{\`e}vre, Laurent},
issn = {0001-0782},
journal = {Communications of the ACM},
keywords = {{Green, Generative AI, Life Cycle Analysis, Digital services, Greenhouse Gas Emission, Energy, Sustainability}},
month = {June, 3},
note = {hal-04920612v1. {Online First}},
publisher = {{Association for Computing Machinery}},
title = {{Understanding the environmental impact of generative AI services}},
url = {https://dl.acm.org/doi/10.1145/3725984},
volume = {Special Issue on Sustainability and Computing},
year = {2025}
}
Note: To appear.
| Abstract: | In the days of large scale, heterogeneous computing infrastructures gathering myriads of services, service discovery has become a critical feature that has to deal with the scale and dynamic nature of such platforms. The SPADES project (Servicing Petascale Architectures and DistributEd System, 08-ANR-SEGI-025) is a consortium whose purpose is to promote new solutions to deal with a very large number of volatile and heterogeneous computing resources. For the aforementioned reasons, at the project's core, the service discovery has been envisioned as fully decentralized. More precisely, the proposed P2P service discovery system proposed within the SPADES project is based on the DLPT approach (Distributed Lexicographic Placement Table) providing distributed structures and algorithms for such a feature. In this paper, an implementation of the DLPT concepts into the middleware developed within the SPADES project, called SBAM (Spades BAsed Middleware), is devised. Furthermore, its actual deployment over a nation-wide grid system, as well as its performance are detailed. |
@Article{ ArticleLambert.LCLG_FGCS25,
abstract = {In the days of large scale, heterogeneous computing infrastructures gathering myriads of services, service discovery has become a critical feature that has to deal with the scale and dynamic nature of such platforms. The SPADES project (Servicing Petascale Architectures and DistributEd System, 08-ANR-SEGI-025) is a consortium whose purpose is to promote new solutions to deal with a very large number of volatile and heterogeneous computing resources. For the aforementioned reasons, at the project's core, the service discovery has been envisioned as fully decentralized. More precisely, the proposed P2P service discovery system proposed within the SPADES project is based on the DLPT approach (Distributed Lexicographic Placement Table) providing distributed structures and algorithms for such a feature. In this paper, an implementation of the DLPT concepts into the middleware developed within the SPADES project, called SBAM (Spades BAsed Middleware), is devised. Furthermore, its actual deployment over a nation-wide grid system, as well as its performance are detailed. },
author = {Lambert, Simon and Caron, Eddy and Lef{\`e}vre, Laurent and Grivel, R{\'e}mi},
journal = {Future Generation Computer Systems},
note = {To appear},
number = {FGCS-D-24-03438R3 },
title = {Consolidation of virtual machines to reduce energy consumption of data centers by using ballooning, sharing and swapping mechanisms },
year = {2025}
}
