Enhanced Failure Detection Mechanism in MapReduce


Autoria(s): Memishi, Bunjamin; Pérez Hernández, María de los Santos; Antoniu, Gabriel
Data(s)

01/07/2012

Resumo

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.

Formato

application/pdf

Identificador

http://oa.upm.es/15929/

Idioma(s)

eng

Publicador

Facultad de Informática (UPM)

Relação

http://oa.upm.es/15929/1/INVE_MEM_2012_139242.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6266995&tag=1

info:eu-repo/semantics/altIdentifier/doi/10.1109/HPCSim.2012.6266995

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Enhanced Failure Detection Mechanism in MapReduce | En: High Performance Computing and Simulation (HPCS), 2012 International Conference on | pag. 690-692 | IEEE Xplore Digital Library | 2012-07

Palavras-Chave #Informática
Tipo

info:eu-repo/semantics/bookPart

Sección de Libro

PeerReviewed