| Publications of year 2024 |
| Conference articles |
| 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. |
@InProceedings{ InProceedingsBerthelot.BCJL_24,
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. },
address = {Turin. Italia},
author = {Berthelot, Adrien and Caron, Eddy and Jay, Mathilde and Lef{\`e}vre, Laurent},
institution = {Inria and Octo Technology},
keywords = {Green},
month = {19-21 June},
organization = {31st CIRP Conference on Life Cycle Engineering. CIRP LCE 2024},
publisher = {Procedia CIRP},
title = {Estimating the environmental impact of {G}enerative-{AI} services using an {LCA}-based methodology},
year = {2024}
}
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