A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data

A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data

As the network continues to evolve, completely analyzing the traffic requires immeasurable resources. In situations of processing enormous streaming data, the most significant k items (Top-k) are more interesting, and some streaming algorithms are deployed due to relatively limited memory and also l...

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Bibliographic Details
Main Authors: Dazhong He, Yang Yang, Jun Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Network traffic
Top-k
streaming algorithm
parallel algorithm
Online Access:https://ieeexplore.ieee.org/document/8438445/

Internet

https://ieeexplore.ieee.org/document/8438445/

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