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Deadline-based MapReduce workload management

Autor
Polo, J.; Becerra, Y.; Carrera, D.; Steinder, M.; Whalley, I.; Torres, J.; Ayguade, E.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on network and service management
Data de publicació
2013
Volum
10
Número
2
Pàgina inicial
231
Pàgina final
244
DOI
https://doi.org/10.1109/TNSM.2012.122112.110163 Obrir en finestra nova
Resum
This paper presents a scheduling technique for multi-job MapReduce workloads that is able to dynamically build performance models of the executing workloads, and then use these models for scheduling purposes. This ability is leveraged to adaptively manage workload performance while observing and taking advantage of the particulars of the execution environment of modern data analytics applications, such as hardware heterogeneity and distributed storage. The technique targets a highly dynamic envi...
Paraules clau
Mapreduce, Performance Management, Task Scheduling
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants