Boosting Big Data Streaming Applications in Clouds With BurstFlow

Boosting Big Data Streaming Applications in Clouds With BurstFlow

The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing and analytic in recent years, leading to new challenges to handle Big Data in real-time. Traditionally, a single cloud infrast...

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Bibliographic Details
Main Authors: Paulo Ricardo Rodrigues De Souza, Kassiano J. Matteussi, Alexandre Da Silva Veith, Breno F. Zanchetta, Valderi R. Q. Leithardt, Alvaro L. Murciego, Edison Pignaton De Freitas, Julio C. S. Dos Anjos, Claudio F. R. Geyer
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Big data
stream processing applications
multi cloud
micro-batches
data partition
Online Access:https://ieeexplore.ieee.org/document/9281110/

Internet

https://ieeexplore.ieee.org/document/9281110/

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