A Comparative Study on Streaming Frameworks for Big Data - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

A Comparative Study on Streaming Frameworks for Big Data


Recently, increasingly large amounts of data are generated from a variety of sources. Existing data processing technologies are not suitable to cope with the huge amounts of generated data. Yet, many research works focus on streaming in Big Data, a task referring to the processing of massive volumes of structured/unstructured streaming data. Recently proposed streaming frameworks for Big Data applications help to store, analyze and process the continuously captured data. In this paper, we discuss the challenges of Big Data and we survey existing streaming frameworks for Big Data. We also present an experimental evaluation and a comparative study of the most popular streaming platforms.
Fichier principal
Vignette du fichier
Inoubli et al LaDAS 2018 - Camera Ready.pdf (196.42 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01835437 , version 1 (11-07-2018)


  • HAL Id : hal-01835437 , version 1


Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo. A Comparative Study on Streaming Frameworks for Big Data. VLDB 2018 - 44th International Conference on Very Large Data Bases : Workshop LADaS - Latin American Data Science, Aug 2018, Rio de Janeiro, Brazil. pp.1-8. ⟨hal-01835437⟩
899 View
1806 Download


Gmail Facebook Twitter LinkedIn More