DDT: A Reinforcement Learning Approach to Dynamic Flow Timeout Assignment in Software Defined Networks

[1]  Kotaro Kataoka,et al.  DRL-FTO: Dynamic Flow Rule Timeout Optimization in SDN using Deep Reinforcement Learning , 2021, AINTEC.

[2]  Dinh Thai Hoang,et al.  DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks , 2021, Comput. Commun..

[3]  Ali Saman Tosun,et al.  White Box Analysis at the Service of Low Rate Saturation Attacks on Virtual SDN Data Plane , 2019, 2019 IEEE 44th LCN Symposium on Emerging Topics in Networking (LCN Symposium).

[4]  Abinas Panda,et al.  Dynamic Hard Timeout based Flow Table Management in Openflow enabled SDN , 2019, 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN).

[5]  Ali Saman Tosun,et al.  Time Inference Attacks on Software Defined Networks: Challenges and Countermeasures , 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

[6]  Raouf Boutaba,et al.  A comprehensive survey on machine learning for networking: evolution, applications and research opportunities , 2018, Journal of Internet Services and Applications.

[7]  Jianfeng Xu,et al.  Proactive Mitigation to Table-Overflow in Software-Defined Networking , 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

[8]  Herke van Hoof,et al.  Addressing Function Approximation Error in Actor-Critic Methods , 2018, ICML.

[9]  H. Jonathan Chao,et al.  STAR: Preventing flow-table overflow in software-defined networks , 2017, Comput. Networks.

[10]  Junaid Qadir,et al.  Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges , 2017, IEEE Access.

[11]  Ilsun You,et al.  SAT-FLOW: Multi-Strategy Flow Table Management for Software Defined Satellite Networks , 2017, IEEE Access.

[12]  Richard O. Sinnott,et al.  A hybrid-timeout mechanism to handle rule dependencies in software defined networks , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[13]  Changjia Chen,et al.  ON/OFF Traffic Shaping in the Internet: Motivation, Challenges, and Solutions , 2017, IEEE Network.

[14]  Yang Liu,et al.  A dynamic adaptive timeout approach for SDN switch , 2016, 2016 2nd IEEE International Conference on Computer and Communications (ICCC).

[15]  Yan Shi,et al.  TF-IdleTimeout: Improving efficiency of TCAM in SDN by dynamically adjusting flow entry lifecycle , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[16]  Xiaohong Guan,et al.  Taming the Flow Table Overflow in OpenFlow Switch , 2016, SIGCOMM.

[17]  J. Schulman,et al.  OpenAI Gym , 2016, ArXiv.

[18]  Yuval Tassa,et al.  Continuous control with deep reinforcement learning , 2015, ICLR.

[19]  Yaohui Jin,et al.  Intelligent timeout master: Dynamic timeout for SDN-based data centers , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[20]  Martín Casado,et al.  The Design and Implementation of Open vSwitch , 2015, NSDI.

[21]  Sheng Wang,et al.  TimeoutX: An Adaptive Flow Table Management Method in Software Defined Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[22]  Sungyong Park,et al.  A Dynamic Timeout Control Algorithm in Software Defined Networks , 2014 .

[23]  David Walker,et al.  Infinite CacheFlow in software-defined networks , 2014, HotSDN.

[24]  Sujata Banerjee,et al.  DevoFlow: scaling flow management for high-performance networks , 2011, SIGCOMM.

[25]  Ming Zhang,et al.  Understanding data center traffic characteristics , 2010, CCRV.

[26]  Albert G. Greenberg,et al.  The nature of data center traffic: measurements & analysis , 2009, IMC '09.

[27]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[28]  A. Adas,et al.  Traffic models in broadband networks , 1997, IEEE Commun. Mag..

[29]  Varshini Vidyadhar,et al.  NetAI-Gym: Customized Environment for Network to Evaluate Agent Algorithm using Reinforcement Learning in Open-AI Gym Platform , 2021 .

[30]  Ashraf Matrawy,et al.  On the Impact of Network State Collection on the Performance of SDN Applications , 2016, IEEE Communications Letters.

[31]  Navtej Singh Ghumman,et al.  Mininet as Software Defined Networking Testing Platform , 2014 .

[32]  A. Zarek.  OpenFlow Timeouts Demystified , 2012 .

[33]  B. Chandrasekaran.  Survey of Network Traffic Models , 2006 .

[34]  Hans-Werner Braun,et al.  Internet Flow Characterization: Adaptive Timeout Strategy and Statistical Modeling , 2001 .