Large-Scale Data Stream Processing Systems

2017 ◽  
pp. 219-260 ◽  
Author(s):  
Paris Carbone ◽  
Gábor E. Gévay ◽  
Gábor Hermann ◽  
Asterios Katsifodimos ◽  
Juan Soto ◽  
...  
Keyword(s):  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Data Stream Processing ◽  
Large Scale Data ◽  
Scale Data

Alovera: A Fast Stream Processing System for Large-Scale Data

2013 ◽  
Author(s):  
Zhen'an Zhang ◽  
Dongjie Zhang ◽  
Xiaopeng Yu ◽  
Jing Wang ◽  
Chunjiang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Stream Processing ◽  
Processing System ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Anomaly detection in large-scale data stream networks

2012 ◽  
Vol 28 (1) ◽  
pp. 145-189 ◽  
Author(s):  
Duc-Son Pham ◽  
Svetha Venkatesh ◽  
Mihai Lazarescu ◽  
Saha Budhaditya
Keyword(s):  
Anomaly Detection ◽  
Data Stream ◽  
Large Scale ◽  
Stream Networks ◽  
Large Scale Data ◽  
Scale Data

scholarly journals A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges

2020 ◽  
Author(s):  
Dianne Scherly Varela de Medeiros ◽  
Helio do Nascimento Cunha Neto ◽  
Martin Andreoni Lopez ◽  
Luiz Claudio Schara Magalhães ◽  
Natalia Castro Fernandes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Big Data ◽  
Wireless Network ◽  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Knowledge Extraction ◽  
Machine Learning Algorithms ◽  
Data Stream Processing

Abstract In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.

scholarly journals A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges

2020 ◽  
Author(s):  
Dianne Scherly Varela de Medeiros ◽  
Helio do Nascimento Cunha Neto ◽  
Martin Andreoni Lopez ◽  
Luiz Claudio Schara Magalhães ◽  
Natalia Castro Fernandes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Big Data ◽  
Wireless Network ◽  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Knowledge Extraction ◽  
Machine Learning Algorithms ◽  
Data Stream Processing

Abstract In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.

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