-
Eddy Caron and Nicolas Chappe.
FicWebBoard: A Playful and Collaborative learning platform built for all people and all programming languages.
In FIE 2023, IEEE ASEE Frontiers in Education Conference,
College Station, TX (USA),
18-21 October 2023.
IEEE.
Note: Hal number hal-04380643.
Keywords:
Education.
@InProceedings{ InProceedingsCaron.CC_23,
address = {College Station, TX (USA)},
author = {Caron, Eddy and Chappe, Nicolas},
booktitle = {FIE 2023, IEEE ASEE Frontiers in Education Conference},
keywords = {Education},
month = {18-21 October},
note = {hal number hal-04380643},
organization = {IEEE},
title = {FicWebBoard: A Playful and Collaborative learning platform built for all people and all programming languages},
url = {https://ieeexplore.ieee.org/document/10343040},
year = {2023}
}
-
Eddy Caron,
Mélanie Fontaine,
Lucien Ngale,
and Yulin Zhang Huaxi.
Simulation-based Estimation of Resource needs in Fog Robotics Infrastructures.
In Scitepress, editor,
CLOSER 2023. 13th International conference on Cloud computing and Service Science.,
Prague, Czech Republic,
26-28 April 2023.
Note: 12 pages. hal-04151787v1.
Keywords:
Fog Robotics,
Fog Computing,
Simulation.
@InProceedings{ InProceedingsCaron.CFNZ-H_23,
address = {Prague, Czech Republic},
author = {Caron, Eddy and Fontaine, M{\'e}lanie and Ngale, Lucien and Zhang Huaxi, Yulin},
booktitle = {CLOSER 2023. 13th International conference on Cloud computing and Service Science.},
editor = {Scitepress},
keywords = {Fog Robotics, Fog Computing, Simulation},
month = {26-28 April},
note = {12 pages. hal-04151787v1},
title = {{S}imulation-based {E}stimation of {R}esource needs in {F}og {R}obotics {I}nfrastructures},
url = {https://inria.hal.science/hal-04151787v1},
year = {2023}
}
-
Eddy Caron,
Elise Jeanneau,
and Etienne Mauffret.
SkyData: Rise of the Data How can the Intelligent and Autonomous Data paradigm become real?.
In Scitepress, editor,
CLOSER 2023. 13th International conference on Cloud computing and Service Science.,
Prague, Czech Republic,
27-29 April 2023.
Note: 8 pages. Best Poster Award. hal-04040588v1.
Keywords:
SkyData,
Data Management,
Distributed systems.
@InProceedings{ InProceedingsCaron.CJM_23,
address = {Prague, Czech Republic},
author = {Caron, Eddy and Jeanneau, Elise and Mauffret, Etienne},
booktitle = {CLOSER 2023. 13th International conference on Cloud computing and Service Science.},
editor = {Scitepress},
keywords = {SkyData, Data Management, Distributed systems},
month = {27-29 April},
note = {8 pages. Best Poster Award. hal-04040588v1},
title = {SkyData: Rise of the Data How can the Intelligent and Autonomous Data paradigm become real?},
url = {https://hal.inria.fr/hal-04040588v1},
year = {2023}
}
-
Simon Lambert,
Eddy Caron,
Laurent Lefèvre,
and Rémi Grivel.
Étude et modélisation des mécanismes de surallocation de mémoire pour la consolidation de machines virtuelles.
In ComPAS'2023. Conférence en Parallélisme, Architecture et Système,
Annecy, France.,
April 2023.
Note: Hal number hal-04317788.
Keywords:
Green,
Cloud.
@InProceedings{ InProceedingsLambert.LCLG_23,
address = {Annecy, France.},
author = {Lambert, Simon and Caron, Eddy and Lef{\`e}vre, Laurent and Grivel, R{\'e}mi},
booktitle = {ComPAS'2023. Conf{\'e}rence en Parall{\'e}lisme, Architecture et Syst{\`e}me},
keywords = {Green, Cloud},
month = apr,
note = {hal number hal-04317788},
title = {{\'E}tude et mod{\'e}lisation des m{\'e}canismes de surallocation de m{\'e}moire pour la consolidation de machines virtuelles},
url = {https://inria.hal.science/hal-04317788v1},
year = {2023}
}
-
Adrien Berthelot,
Eddy Caron,
Mathilde Jay,
and Laurent Lefèvre.
Estimating the environmental impact of Generative-AI services using an LCA-based methodology.
Research Report,
Inria and Octo Technology,
December 2023.
Note: Preprint version. hal-04346102.
Keywords:
Green.
| Abstract: |
Service discovery is crucial in the development of fully decentralized computational grids. Among the significant amount of work produced by the convergence of peer- to-peer (P2P) systems and grids, a new kind of overlay networks, based on prefix trees (a.k.a., tries), has emerged. In particular, the Distributed Lexicographic Placement Table (DLPT) approach is a decentralized and dynamic service discovery service. Fault-tolerance within the DLPT approach is achieved through best-effort policies relying on formal self-stabilization results. Self-stabilization means that the tree can become transiently inconsistent, but is guaranteed to autonomously converge to a correct topology after arbitrary crashes, in a finite time. However, during convergence, the tree may not be able to process queries correctly. In this paper, we present some simula- tion results having several objectives. First, we investigate the interest of self-stabilization for such architectures. Second, we explore, still based on simulation, a simple Time-To-Live policy to avoid useless processing during convergence time. |
@TechReport{ Tec-Berthelot.BCJL_23,
abstract = {Service discovery is crucial in the development of fully decentralized computational grids. Among the significant amount of work produced by the convergence of peer- to-peer (P2P) systems and grids, a new kind of overlay networks, based on prefix trees (a.k.a., tries), has emerged. In particular, the Distributed Lexicographic Placement Table (DLPT) approach is a decentralized and dynamic service discovery service. Fault-tolerance within the DLPT approach is achieved through best-effort policies relying on formal self-stabilization results. Self-stabilization means that the tree can become transiently inconsistent, but is guaranteed to autonomously converge to a correct topology after arbitrary crashes, in a finite time. However, during convergence, the tree may not be able to process queries correctly. In this paper, we present some simula- tion results having several objectives. First, we investigate the interest of self-stabilization for such architectures. Second, we explore, still based on simulation, a simple Time-To-Live policy to avoid useless processing during convergence time. },
author = {Berthelot, Adrien and Caron, Eddy and Jay, Mathilde and Lef{\`e}vre, Laurent},
institution = {Inria and Octo Technology},
keywords = {Green},
month = {December},
note = {Preprint version. hal-04346102},
title = {Estimating the environmental impact of {G}enerative-{AI} services using an {LCA}-based methodology},
type = {Research {R}eport},
url = {https://hal.inria.fr/hal-04346102},
year = {2023}
}