Encyclopedia of Big Data Technologies

2019 Edition
| Editors: Sherif Sakr, Albert Y. Zomaya

Network-Level Support for Big Data Computing

  • Fábio Diniz Rossi
  • Guilherme da Cunha RodriguesEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-77525-8_45


Currently, a huge amount of data has been created from several distributed sources. In this scenario, a new problem has emerged: how to develop and deploy infrastructures (i.e., storage, network, processing) that are scalable and elastic enough to handle this massive amount of data in a suitable way. The big data concept is related to the capacity of such infrastructures to cope with this enormous amount of data along with quality of service (QoS) metrics that include performance, timeliness, and availability (Assunção et al. 2015).

Scalability is the capacity to enhance the infrastructure by increasing the number of computational resources at the same pace that the quantity of data to be processed grows. It means that the infrastructure must be flexible enough to grow based on the demand for computational resources in order to provide high-quality services (Rodrigues et al. 2016).

To deliver big data demands, the whole infrastructure must be elastic as well. In other...

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Fábio Diniz Rossi
    • 1
  • Guilherme da Cunha Rodrigues
    • 2
    Email author
  1. 1.Federal Institute of Education Science, and Technology Farroupilha (IFFAR)AlegreteBrazil
  2. 2.Federal Institute of Education Science and Technology Sul-Rio Grandense (IFSUL)CharqueadasBrazil

Section editors and affiliations

  • Rodrigo N. Calheiros
    • 1
  • Marcos Dias de Assuncao
    • 2
  1. 1.School of Computing, Engineering and MathematicsWestern Sydney UniversityPenrithAustralia
  2. 2.Inria, LIP, ENS LyonLyonFrance