Title :
Enhanced failure detection mechanism in MapReduce
Author :
Memishi, B. ; Perez, Maria Salome ; Antoniu, Gabriel
Author_Institution :
Fac. de Inf., Univ. Politec. de Madrid, Madrid, Spain
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.
Keywords :
SQL; cloud computing; fault diagnosis; fault tolerance; storage management; MapReduce programming; NoSQL App frameworks; cloud storage systems; failure detection mechanism; fault tolerance; prototype system architecture; Databases; Detectors; Distributed computing; Fault tolerance; Fault tolerant systems; Monitoring; Protocols; MapReduce; failure detection; fault tolerance;
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2012 International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2359-8
DOI :
10.1109/HPCSim.2012.6266995