A survey on big data for network traffic monitoring and analysis

A D'Alconzo, I Drago, A Morichetta… - … on Network and …, 2019 - ieeexplore.ieee.org
Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …

Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop

J Liu, F Liu, N Ansari - IEEE network, 2014 - ieeexplore.ieee.org
Network traffic monitoring and analysis is of theoretical and practical significance for
optimizing network resource and improving user experience. However, existing solutions …

Network monitoring: Present and future

S Lee, K Levanti, HS Kim - Computer Networks, 2014 - Elsevier
Network monitoring guides network operators in understanding the current behavior of a
network. Therefore, accurate and efficient monitoring is vital to ensure that the network …

[PDF][PDF] Apache Pig-a data flow framework based on Hadoop Map Reduce

C Swarna, Z Ansari - International Journal of Engineering Trends …, 2017 - researchgate.net
Big Data is a technology phenomenon happened due to the increased rate of data growth,
complex new data types and parallel advancements in technology stake. Big data can be …

Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis

L Jun, L Tingting, C Gang, Y Hua… - China …, 2013 - ieeexplore.ieee.org
Understanding the dynamic traffic and usage characteristics of data services in cellular
networks is important for optimising network resources and improving user experience …

OpenCluster: a flexible distributed computing framework for astronomical data processing

S Wei, F Wang, H Deng, C Liu, W Dai… - Publications of the …, 2016 - iopscience.iop.org
The volume of data generated by modern astronomical telescopes is extremely large and
rapidly growing. However, current high-performance data processing architectures …

Big data streaming analytics for qoe monitoring in mobile networks: A practical approach

DF Rueda, D Vergara, D Reniz - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Traditionally, Mobile Network Operators (MNOs) use a set of Key Performance Indicators
(KPIs) to measure the quality offered to their customers. However, these KPIs do not reflect …

Flow identification and characteristics mining from internet traffic with hadoop

Y Cai, B Wu, X Zhang, M Luo… - … Conference on Computer …, 2014 - ieeexplore.ieee.org
Characteristics of flow describe the pattern and trend of network traffic, it helps network
operator understanding network usage and user behavior, especially useful for those who …

Achieving horizontal scalability in density-based clustering for urls

A Faroughi, R Javidan, M Mellia… - … Conference on Big …, 2018 - ieeexplore.ieee.org
Clustering has become an important means to analyze large datasets when labeled data is
not available. The volume of data and its variety however challenge classical clustering …

Parallelized user clicks recognition from massive HTTP data based on dependency graph model

C Fang, J Liu, Z Lei - China Communications, 2014 - ieeexplore.ieee.org
With increasingly complex website structure and continuously advancing web technologies,
accurate user clicks recognition from massive HTTP data, which is critical for web usage …