Computação Escalável
Sistemas Escaláveis. Computação Paralela. Programação MPI. MultiProcessamento. Programação em GPU e CUDA. Algoritmos: Map-reduce e implementações: Hadoop, HBase, Hive, Pig e Spark. Soluções de Computação em Nuvem. Frameworks para Computação Paralela. Software as a Service (SaaS), Infrastructure as a Service (IaaS). Platform as a Service (PaaS).
Informações Básicas
Carga horária
60
Pré-requisito
Banco de Dados, Técnicas e Algoritmos em Ciência de Dados
Obrigatória:
- Tom White. Hadoop: The Definitive Guide, Fourth Edition, by (O'Reilly) (ISBN 978-1-4919-0163-2) <http://hdl.library.upenn.edu/1017.12/1373297>
- Jimmy Lin and Chris Dyer. Data-Intensive Text Processing with MapReduce. (Morgan & Claypool) (ISBN 978-1608453429) <http://hdl.library.upenn.edu/1017.12/1594416>
- Kai Hwang, Jack Dongarra & Geoffrey C. Fox. Distributed and Cloud Computing: Clusters, Grids, Clouds, and the Future Internet. <https://www.elsevier.com/books/distributed-and-cloud-computing/hwang/978-0-12-385880-1>
Complementar:
- Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia. 2010. A view of cloud computing. Commun. ACM 53, 4 (April 2010), 50-58. DOI: https://doi.org/10.1145/1721654.1721672
- Jeffrey Dean and Sanjay Ghemawat. 2008. MapReduce: simplified data processing on large clusters. Commun. ACM 51, 1 (January 2008), 107-113. DOI: https://doi.org/10.1145/1327452.1327492
- Li, Kuan-Ching. Handbook of Research on Scalable Computing Technologies, Volumes 1-2. IGI Global
- Holden, Andy, and Patrick. Learning Spark: Lightning-Fast Big Data Analysis. O'Reilly. 2015.