A survey on big data for network traffic monitoring and analysis
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 …
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
Network traffic monitoring and analysis is of theoretical and practical significance for
optimizing network resource and improving user experience. However, existing solutions …
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 …
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 …
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 …
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 …
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 …
(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
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 …
operator understanding network usage and user behavior, especially useful for those who …
Achieving horizontal scalability in density-based clustering for urls
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 …
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 …
accurate user clicks recognition from massive HTTP data, which is critical for web usage …