TY  - CHAP
AU  - Diórgenes Eugênio da Silveira
AU  - Eduardo Souza dos Reis
AU  - Rodrigo Simon Bavaresco
AU  - Marcio Miguel Gomes
AU  - Cristiano André da Costa
AU  - Jorge Luis Victoria Barbosa
AU  - Rodolfo Stoffel Antunes
AU  - Alvaro Machado Júnior
AU  - Rodrigo Saad
AU  - Rodrigo da Rosa Righi
ED  - Rodrigo da Rosa Righi
Y1  - 2020-05-29
PY  - 2020
T1  - Looking at Data Science through the Lens of Scheduling and Load Balancing
N2  - Scheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.
BT  - Scheduling Problems
SP  - Ch. 6
UR  - https://doi.org/10.5772/intechopen.92578
DO  - 10.5772/intechopen.92578
SN  - 978-1-78985-054-3
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -