MRA++: Scheduling and data placement on MapReduce for heterogeneous environments

Article

Abstract: MapReduce has emerged as a popular programming model in the field of data-intensive computing. This

Palabras claves:

Data placement, Data-intensive computing, DISTRIBUTED SYSTEMS, mapreduce, scheduling

Autores:

Anjos J.C.S., Arantes L.B., Geyer C.R., Iván Carrera Izurieta, Kolberg W., Tibola A.L.

Fuentes:

google

scopus