An advanced mapreduce: cloud mapreduce, enhancements and applications
D Dahiphale, R Karve, AV Vasilakos… - … on Network and …, 2014 - ieeexplore.ieee.org
Recently, Cloud Computing is attracting great attention due to its provision of configurable
computing resources. MapReduce (MR) is a popular framework for data-intensive …
computing resources. MapReduce (MR) is a popular framework for data-intensive …
[引用][C] Computaçao intensiva em dados com MapReduce em ambientes oportunistas
JW Silva, TE Pereira, C de Araújo Souza, F Brasileiro - Anais do XXIX SBRC, 2011
[HTML][HTML] A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads
N Zacheilas, V Kalogeraki - EURASIP Journal on Embedded Systems, 2017 - Springer
In recent years, we are observing an increased demand for processing large amounts of
data. The MapReduce programming model has been utilized by major computing …
data. The MapReduce programming model has been utilized by major computing …
Bringing elastic mapreduce to scientific clouds
The MapReduce programming model, proposed by Google, offers a simple and efficient way
to perform distributed computation over large data sets. The Apache Hadoop framework is a …
to perform distributed computation over large data sets. The Apache Hadoop framework is a …
Exploiting cloud heterogeneity for optimized cost/performance mapreduce processing
Z Zhang, L Cherkasova, BT Loo - Proceedings of the Fourth …, 2014 - dl.acm.org
Cloud computing enables a user to quickly provision any size Hadoop cluster, execute a
given MapReduce workload, and then pay for the time the resources were used. Typically …
given MapReduce workload, and then pay for the time the resources were used. Typically …
Services Computing in 2016.
L Liu - IEEE Trans. Serv. Comput., 2016 - computer.org
MAPREDUCE is a widely used computing model for large scale data processing in cloud
computing. A MapReduce job consists of a set of map and reduce tasks, where reduce tasks …
computing. A MapReduce job consists of a set of map and reduce tasks, where reduce tasks …
Adequação da computação intensiva em dados para ambientes desktop grid com uso de MapReduce
JCS Anjos - 2012 - lume.ufrgs.br
O surgimento de volumes de dados na ordem de petabytes cria a necessidade de
desenvolver-se novas soluções que viabilizem o tratamento dos dados através do uso de …
desenvolver-se novas soluções que viabilizem o tratamento dos dados através do uso de …
[PDF][PDF] Simplifying the development and deployment of MapReduce algorithms
This paper describes the existing challenges of creating MapReduce algorithms and how
our approach minimizes these challenges. MapRedoop is a framework that can be used to …
our approach minimizes these challenges. MapRedoop is a framework that can be used to …