Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Enhanced failure detection mechanism in MapReduce
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
The popularity of MapReduce programming model has increased interest in the research community for its improvement. Among the other directions, the point of fault tolerance, concretely the failure detection issue seems to be a crucial one, but that until now has not reached its satisfying level. Motivated by this, I decided to devote my main research during this period into having a prototype system architecture of MapReduce framework with a new failure detection service, containing both analytical (theoretical) and implementation part. I am confident that this work should lead the way for further contributions in detecting failures to any NoSQL App frameworks, and cloud storage systems in general.
International
Si
Congress
HPCS 2012
960
Place
Madrid, Spain
Reviewers
Si
ISBN/ISSN
978-1-4673-2362-8
Start Date
02/07/2012
End Date
06/07/2012
From page
690
To page
692
IEEE Computer Society Press
Participants
  • Autor: Bunjamin Memishi . (UPM)
  • Autor: Maria de los Santos Perez Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
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