Applying deep learning approaches for network traffic prediction

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

Volumn 2017-January, Issue , 2017, Pages 2353-2358

  Vinayakumar, R ^a   Soman, K P ^a   Poornachandran, Prabaharan ^b  

^a AMRITA SCHOOL OF ENGINEERING   (India)

^b AMRITA UNIVERSITY   (India)

Author keywords

Deep learning; Network traffic matrix; Prediction

Indexed keywords

ANALOG COMPUTERS; COMPUTER NETWORKS; DEEP LEARNING; FORECASTING; MATRIX ALGEBRA; NETWORK ARCHITECTURE; RECURRENT NEURAL NETWORKS; TIME SERIES; TRAFFIC CONTROL;

CLASSICAL METHODS; LONG-RANGE DEPENDENCIES; NETWORK STRUCTURES; NETWORK TRAFFIC; NETWORK TRAFFIC PREDICTIONS; PRO-ACTIVE APPROACH; RECURRENT NEURAL NETWORK (RNN); TRAFFIC MATRIX ESTIMATION;

LONG SHORT-TERM MEMORY;

EID: 85042652188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACCI.2017.8126198     Document Type: Conference Paper

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