Pipeline-Based Linear Scheduling of Big Data Streams in the Cloud

Nowadays, there is an accelerating need to efficiently and timely handle large amounts of data that arrives continuously. Streams of big data led to the emergence of several Distributed Stream Processing Systems (DSPS) that assign processing tasks to the available resources (dynamically or not) and...

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Bibliographic Details
Main Authors: Nicoleta Tantalaki, Stavros Souravlas, Manos Roumeliotis, Stefanos Katsavounis
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9123756/