Deep Learning Models For Aggregated Network Traffic Prediction
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[1] San-qi Li,et al. A predictability analysis of network traffic , 2002, Comput. Networks.
[2] Zhi-Li Zhang,et al. Profiling internet backbone traffic: behavior models and applications , 2005, SIGCOMM '05.
[3] Qian Xu,et al. MS-LSTM: A multi-scale LSTM model for BGP anomaly detection , 2016, 2016 IEEE 24th International Conference on Network Protocols (ICNP).
[4] Steve Uhlig,et al. Providing public intradomain traffic matrices to the research community , 2006, CCRV.
[5] Amarnath Mukherjee,et al. Time series models for internet traffic , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.
[6] Ming Zhang,et al. MicroTE: fine grained traffic engineering for data centers , 2011, CoNEXT '11.
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] Yusheng Ji,et al. Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information , 2019, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).
[9] Robert H. Shumway,et al. Time Series Analysis and Its Applications (Springer Texts in Statistics) , 2005 .
[10] Abdulsalam Yassine,et al. Software defined network traffic measurement: Current trends and challenges , 2015, IEEE Instrumentation & Measurement Magazine.
[11] Viktor K. Prasanna,et al. An LSTM Framework For Modeling Network Traffic , 2019, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).
[12] Min Zhu,et al. B4: experience with a globally-deployed software defined wan , 2013, SIGCOMM.
[13] Viktor K. Prasanna,et al. DeepFlow: a deep learning framework for software-defined measurement , 2017, CAN@CoNEXT.
[14] Jean C. Walrand,et al. Knowledge-Defined Networking: Modelització de la xarxa a través de l’aprenentatge automàtic i la inferència , 2016 .
[15] Ying Chen,et al. Anomaly Detection Using LSTM in IP Networks , 2018, 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD).
[16] Mikkel Thorup,et al. Traffic engineering with estimated traffic matrices , 2003, IMC '03.
[17] Kavitha Chandra,et al. Time series models for Internet data traffic , 1999, Proceedings 24th Conference on Local Computer Networks. LCN'99.
[18] Sujata Banerjee,et al. DevoFlow: scaling flow management for high-performance networks , 2011, SIGCOMM 2011.
[19] Tarun Soni,et al. Network Traffic Prediction Using Recurrent Neural Networks , 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).
[20] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[21] Konstantina Papagiannaki,et al. Long-term forecasting of Internet backbone traffic: observations and initial models , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).
[22] Guy Pujolle,et al. NeuTM: A neural network-based framework for traffic matrix prediction in SDN , 2017, NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium.
[23] Kavé Salamatian,et al. Combining filtering and statistical methods for anomaly detection , 2005, IMC '05.
[24] Matthew Roughan,et al. Internet Traffic Matrices: A Primer , 2013 .
[25] Philippe Owezarski,et al. Modeling Internet backbone traffic at the flow level , 2003, IEEE Trans. Signal Process..
[26] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..