Artificial intelligence based load balancing in SDN: A comprehensive survey

[1]  Ali Kadhum M. Al-Qurabat,et al.  Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods , 2023, Internet of Things.

[2]  Ali Kadhum M. Al-Qurabat,et al.  A Clustering Approach Based on Fuzzy C-Means in Wireless Sensor Networks for IoT Applications , 2022, Karbala International Journal of Modern Science.

[3]  B. Barekatain,et al.  GAJEL-DSDN: an intelligent hybrid genetic-Jaya-based switch migration algorithm for efficient load balancing in distributed SDNs , 2022, The Journal of Supercomputing.

[4]  Wisal Bassim Nedham,et al.  An Improved Energy Efficient Clustering Protocol for Wireless Sensor Networks , 2022, 2022 International Conference for Natural and Applied Sciences (ICNAS).

[5]  Yong Wang,et al.  ALBRL: Automatic Load-Balancing Architecture Based on Reinforcement Learning in Software-Defined Networking , 2022, Wireless Communications and Mobile Computing.

[6]  Xiaoqiang Di,et al.  SDN-based dynamic multi-path routing strategy for satellite networks , 2022, Future Gener. Comput. Syst..

[7]  Xiaolan Xie,et al.  ALBLP: Adaptive Load-Balancing Architecture Based on Link-State Prediction in Software-Defined Networking , 2022, Wireless Communications and Mobile Computing.

[8]  Ali Kadhum M. Al-Qurabat,et al.  Perceptually Important Points-Based Data Aggregation Method for Wireless Sensor Networks , 2022, Baghdad Science Journal.

[9]  Saeed Arab,et al.  A novel optimized routing algorithm for QoS traffic engineering in SDN-based mobile networks , 2021, ICT Express.

[10]  Gautam Srivastava,et al.  A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors , 2021, Comput. Commun..

[11]  Ahmadreza Montazerolghaem,et al.  Software-Defined Internet of Multimedia Things: Energy-Efficient and Load-Balanced Resource Management , 2021, IEEE Internet of Things Journal.

[12]  Ali Kadhum M. Al-Qurabat,et al.  An energy-saving data aggregation method for wireless sensor networks based on the extraction of extrema points , 2022, PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN PURE AND APPLIED SCIENCE (ICARPAS2021): Third Annual Conference of Al-Muthanna University/College of Science.

[13]  Zainab Alansari,et al.  Artificial Intelligence Based Reliable Load Balancing Framework in Software-Defined Networks , 2022, Computers, Materials & Continua.

[14]  Vivek Srivastava,et al.  Machine intelligence approach: To solve load balancing problem with high quality of service performance for multi-controller based Software Defined Network , 2021, Sustain. Comput. Informatics Syst..

[15]  Aashish kumar, Et. al.,et al.  Load balancing for Software Defined Network using Machine learning , 2021 .

[16]  Amiya Nayak,et al.  Linking handover delay to load balancing in SDN-based heterogeneous networks , 2021, Comput. Commun..

[17]  Xiaohong Huang,et al.  Intelligent traffic control for QoS optimization in hybrid SDNs , 2021, Comput. Networks.

[18]  Taehong Kim,et al.  Dynamic fog-to-fog offloading in SDN-based fog computing systems , 2021, Future Gener. Comput. Syst..

[19]  Aipeng Guo,et al.  Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence , 2021, Electronics.

[20]  Sangeetha M,et al.  Load Balancing in DCN Servers through SDN Machine Learning Algorithm , 2021, Arabian Journal for Science and Engineering.

[21]  Bilal Babayigit,et al.  Deep learning for load balancing of SDN‐based data center networks , 2021, Int. J. Commun. Syst..

[22]  Jie Cui,et al.  Assessing Profit of Prediction for SDN controllers load balancing , 2021, Comput. Networks.

[23]  Fangli Zhao,et al.  Load Balancing Algorithm of Controller Based on SDN Architecture Under Machine Learning , 2020 .

[24]  Zoubeir Mlika,et al.  Preemptive SDN Load Balancing With Machine Learning for Delay Sensitive Applications , 2020, IEEE Transactions on Vehicular Technology.

[25]  Ilias Sakellariou,et al.  Deep Q-Learning for Load Balancing Traffic in SDN Networks , 2020, SETN.

[26]  Chen Qian,et al.  PrePass: Load balancing with data plane resource constraints using commodity SDN switches , 2020, Comput. Networks.

[27]  Zhiwen Zeng,et al.  A Novel Load Balancing and Low Response Delay Framework for Edge-Cloud Network Based on SDN , 2020, IEEE Internet of Things Journal.

[28]  Mohammad Riyaz Belgaum,et al.  A Systematic Review of Load Balancing Techniques in Software-Defined Networking , 2020, IEEE Access.

[29]  Yang Xu,et al.  Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[30]  Junjie Zhang,et al.  CFR-RL: Traffic Engineering With Reinforcement Learning in SDN , 2020, IEEE Journal on Selected Areas in Communications.

[31]  Vivek Srivastava,et al.  A Dominance of the Channel Capacity in Load Balancing of Software Defined Network , 2020, Wirel. Pers. Commun..

[32]  Mohammad Hossein Yaghmaee,et al.  Load-Balanced and QoS-Aware Software-Defined Internet of Things , 2020, IEEE Internet of Things Journal.

[33]  Mohammed Moin Mulla,et al.  Data Traffic Classification in Software Defined Networks (SDN) using supervised-learning , 2020 .

[34]  Neeraj Kumar,et al.  LOADS: Load Optimization and Anomaly Detection Scheme for Software-Defined Networks , 2019, IEEE Transactions on Vehicular Technology.

[35]  Vincenzo Suraci,et al.  Lyapunov-Based Design of a Distributed Wardrop Load-Balancing Algorithm With Application to Software-Defined Networking , 2019, IEEE Transactions on Control Systems Technology.

[36]  Yang Xu,et al.  SINET: Enabling Scalable Network Routing with Deep Reinforcement Learning on Partial Nodes , 2019, SIGCOMM Posters and Demos.

[37]  Andrey Koucheryavy,et al.  Chaotic salp swarm algorithm for SDN multi-controller networks , 2019, Engineering Science and Technology, an International Journal.

[38]  N. Correia,et al.  On Load Balancing via Switch Migration in Software-Defined Networking , 2019, IEEE Access.

[39]  Satya Prakash Sahoo,et al.  The Multi-Constrained Multicast Routing Improved by Hybrid Bacteria Foraging-Particle Swarm Optimization , 2019, Computer Science.

[40]  Vahideh Hayyolalam,et al.  A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things , 2019, Cluster Computing.

[41]  Xin Yuan,et al.  Machine Learning Aided Load Balance Routing Scheme Considering Queue Utilization , 2019, IEEE Transactions on Vehicular Technology.

[42]  Yuanyuan Bao,et al.  Poster Abstract: Synchronous Automatic Training for Wearable Sensors via Knowledge Distillation , 2019, 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[43]  P. Deepalakshmi,et al.  Artificial Neural Network Based Load Balancing On Software Defined Networking , 2019, 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS).

[44]  Mario Marchese,et al.  Dynamic Switch Migration in Distributed Software-Defined Networks to Achieve Controller Load Balance , 2019, IEEE Journal on Selected Areas in Communications.

[45]  Nima Jafari Navimipour,et al.  Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network , 2019, Int. J. Commun. Syst..

[46]  Hee Yong Youn,et al.  Dynamic Load Balancing of Software-Defined Networking Based on Genetic-Ant Colony Optimization , 2019, Sensors.

[47]  Majd Latah,et al.  Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview , 2018, IET Networks.

[48]  F. Richard Yu,et al.  A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges , 2019, IEEE Communications Surveys & Tutorials.

[49]  Masoud Sabaei,et al.  Server Load Balancing in Software-Defined Networks , 2018, 2018 9th International Symposium on Telecommunications (IST).

[50]  Julong Lan,et al.  DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning , 2018, IEEE Access.

[51]  Christian Esteve Rothenberg,et al.  A Load Balancing Method based on Artificial Neural Networks for Knowledge-defined Data Center Networking , 2018, LANC.

[52]  Rajiv Ranjan,et al.  A predictive load balancing technique for software defined networked cloud services , 2018, Computing.

[53]  Ejaz Ahmed,et al.  SDN-Based Load Balancing Service for Cloud Servers , 2018, IEEE Communications Magazine.

[54]  Jianxin Wang,et al.  Load-balancing routing in software defined networks with multiple controllers , 2018, Comput. Networks.

[55]  Sayali Patil,et al.  Load Balancing Approach for Finding Best Path in SDN , 2018, 2018 International Conference on Inventive Research in Computing Applications (ICIRCA).

[56]  Sagar Naik,et al.  DSSDN: Demand‐supply based load balancing in Software‐Defined Wide‐Area Networks , 2018, International Journal of Network Management.

[57]  Chin-Feng Lai,et al.  A SDN-SFC-based service-oriented load balancing for the IoT applications , 2018, J. Netw. Comput. Appl..

[58]  Yao-Chung Chang,et al.  Bacteria-inspired communication mechanism based on software-defined network , 2018, 2018 27th Wireless and Optical Communication Conference (WOCC).

[59]  Julong Lan,et al.  Online Load Balancing for Distributed Control Plane in Software-Defined Data Center Network , 2018, IEEE Access.

[60]  Mehdi Hosseinzadeh,et al.  Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature , 2018, IEEE Access.

[61]  Wenqing Cheng,et al.  Towards Dynamic Two-tier Load Balancing for Software Defined WiFi Networks , 2017, ICCIS 2017.

[62]  Liusheng Huang,et al.  Control Link Load Balancing and Low Delay Route Deployment for Software Defined Networks , 2017, IEEE Journal on Selected Areas in Communications.

[63]  Umme Zakia,et al.  Dynamic load balancing in SDN-based data center networks , 2017, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[64]  Xiang-Yang Li,et al.  Partial flow statistics collection for load-balanced routing in software defined networks , 2017, Comput. Networks.

[65]  Liusheng Huang,et al.  Load-Balancing Software-Defined Networking Through Hybrid Routing , 2017, WASA.

[66]  Zhifeng Zhao,et al.  Intelligent Optimizing Scheme for Load Balancing in Software Defined Networks , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[67]  Jie Cui,et al.  LBBSRT: An efficient SDN load balancing scheme based on server response time , 2017, Future Gener. Comput. Syst..

[68]  Kannan Govindarajan,et al.  An intelligent load balancer for software defined networking (SDN) based cloud infrastructure , 2017, 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).

[69]  Arjan Durresi,et al.  A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN) , 2017, Comput. Networks.

[70]  Kamal Benzekki,et al.  Software-defined networking (SDN): a survey , 2016, Secur. Commun. Networks.

[71]  Nima Jafari Navimipour,et al.  Load balancing mechanisms and techniques in the cloud environments: Systematic literature review and future trends , 2016, J. Netw. Comput. Appl..

[72]  WuCai Lin,et al.  The Load Balancing Research of SDN based on Ant Colony Algorithm with Job Classification , 2016 .

[73]  Siamak Layeghy,et al.  Pushing SDN to the end-host, network load balancing using OpenFlow , 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

[74]  Jadwiga Indulska,et al.  Efficient topology discovery in OpenFlow-based Software Defined Networks , 2016, Comput. Commun..

[75]  Achmad Basuki,et al.  The Extended Dijkstra’s-based Load Balancing for OpenFlow Network , 2015 .

[76]  Yiming Li,et al.  Software defined networking: State of the art and research challenges , 2014, Comput. Networks.

[77]  Qi Hao,et al.  A Survey on Software-Defined Network and OpenFlow: From Concept to Implementation , 2014, IEEE Communications Surveys & Tutorials.

[78]  Ramin Yahyapour,et al.  An analytical model for software defined networking: A network calculus-based approach , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[79]  Sixto Ortiz,et al.  Software-Defined Networking: On the Verge of a Breakthrough? , 2013, Computer.

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