A Multi-Layered Aarchitecture for Collaborative and Decentralized Consequence Finding - Laboratoire Interdisciplinaire des Sciences du Numérique Accéder directement au contenu
Article Dans Une Revue Computing and Informatics Année : 2015

A Multi-Layered Aarchitecture for Collaborative and Decentralized Consequence Finding

Résumé

The consequence finding problem consists in producing all the consequences of a logical theory or, depending on the application context, in a restricted subset of these consequences. When the available knowledge is naturally scattered among different sources of information, computing such consequences with respect to the global theory in a decentralized way is a challenging problem. This paper presents Somewhere2, a multilayered architecture that may be used to solve such consequence finding problems in peer-to-peer networks of collaborating entities, that may evolve over time. The general layout of this architecture is described as well as the roles of its main components. Thanks to a careful and modular design, the resulting framework is very generic. This facilitates alternative implementations of specific components as well as its extension with additional features. First experimental results are presented, illustrating the scalability and robustness of this architecture. This framework may be used as a robust building block for more advanced distributed applications, such as Peer Data Management Systems.
Fichier non déposé

Dates et versions

hal-01222693 , version 1 (30-10-2015)

Identifiants

  • HAL Id : hal-01222693 , version 1

Citer

André de Amorim Fonseca, Philippe Chatalic. A Multi-Layered Aarchitecture for Collaborative and Decentralized Consequence Finding. Computing and Informatics, 2015, 34 (1), pp.210-232. ⟨hal-01222693⟩
133 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More