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Communication Dans Un Congrès Année : 2012

Enhanced failure detection mechanism in MapReduce

Résumé

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.

Dates et versions

hal-01249156 , version 1 (30-12-2015)

Identifiants

Citer

Bunjamin Memishi, Mar'Ia S. Pérez-Hernández, Gabriel Antoniu. Enhanced failure detection mechanism in MapReduce. 2012 International Conference on High Performance Computing & Simulation, HPCS 2012, Madrid, Spain, July 2-6, 2012, 2012, Madrid, Spain. pp.690--692, ⟨10.1109/HPCSim.2012.6266995⟩. ⟨hal-01249156⟩
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