Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Improving grid fault tolerance by means of global behavior modeling
Year:2010
Research Areas
  • Artificial intelligence,
  • Information technology and adata processing
Information
Abstract
Grid systems have proved to be one of the most important new alternatives to face challenging problems but, to exploit its benefits, dependability and fault tolerance are key aspects. However, the vast complexity of these systems limits the efficiency of traditional fault tolerance techniques. It seems necessary to distinguish between resource-level fault tolerance (focused on every machine) and service-level fault tolerance (focused on global behavior). Techniques based on these concepts can handle system complexity and increase dependability. We present an autonomous, self-adaptive fault tolerance framework for grid systems, based on a new approach to model distributed environments. The grid is considered as a single entity, instead of a set of independent resources. This point of view focuses on service-level fault tolerance, allowing us to see the big picture and understand the system's global behavior. The resulting model's simplicity is the key to provide system-wide fault tolerance
International
Si
Congress
9th International Symposium on Parallel and Distributed Computing
960
Place
Estambul, Turquia
Reviewers
Si
ISBN/ISSN
978-0-7695-4120-4
Start Date
07/07/2010
End Date
09/07/2010
From page
101
To page
108
IEEE Computer Society Press
Participants
  • Autor: Maria de los Santos Perez Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
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