Serviços da nuvem oferecem facilidades computacionais bem estabelecidas. Na busca de
eficiência para executar aplicações do tipo MapReduce, que lidam com grandes …

In the last years, Cloud Computing has become a key technology that made possible to run
applications without needing to deploy a physical infrastructure. The challenge with …

MapReduce is a powerful paradigm that enables rapid implementation of a wide range of
distributed data-intensive applications. The Hadoop project, its main open source …

MapReduce is one of the most widely used programming models for analysing large-scale
datasets, ie Big Data. In recent years, serverless computing and, in particular, Functions as a …

In last two decades continues increase of comput-ational power and recent advance in the
web technology cause to provide large amounts of data. That needs large scale data …

Running MapReduce programs in the cloud introduces this unique problem: how to optimize
resource provisioning to minimize the monetary cost or job finish time for a specific job? We …

MapReduce é um modelo de programação voltado à computação paralela em larga escala,
e ao processamento de grandes volumes de dados. A implementação do modelo, e as …

The MapReduce programming model, introduced by Google, offers a simple and efficient
way of performing distributed computation over large data sets. Although Google's …

Cloud computing offers a new, attractive option to customers for quickly provisioning any
size Hadoop cluster, consuming resources as a service, executing their MapReduce …

The MapReduce programming model, introduced by Google, offers a simple and efficient
way of performing distributed computation over large data sets. Although Google's …