Challenges in Mobile Network Capacity Monitoring & Solutions to Improve Capacity Problems Using Various Parameters

Authors: Gupta, Vikas, Chakraverti, Ashish Kumar, Kumar, Manoj

Source: 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS) Technological Advancements in Computational Sciences (ICTACS), 2024 4th International Conference on. :1056-1061 Nov, 2024

Relation: 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS)

Unsupervised Learning Approach for Network Traffic Classification

Authors: Abboud, Mario Bou, Baala, Oumaya, Drissi, Maroua, Allio, Sylvain

Source: 2024 International Wireless Communications and Mobile Computing (IWCMC) Wireless Communications and Mobile Computing (IWCMC), 2024 International. :1155-1160 May, 2024

Relation: 2024 International Wireless Communications and Mobile Computing (IWCMC)

A QoS and Load Balancing Predictive Model Based on LSTM and Random Forest Regression in SDN: A Rest API Approach

Authors: Ansari, Muhammad Salman^Aff17, Zhang, JianXun^Aff17, Shaban^Aff18

Contributors: Akan, Ozgur, Editorial Board Member^Aff1, Bellavista, Paolo, Editorial Board Member^Aff2, Cao, Jiannong, Editorial Board Member^Aff3, Coulson, Geoffrey, Editorial Board Member^Aff4, Dressler, Falko, Editorial Board Member^Aff5, Ferrari, Domenico, Editorial Board Member^Aff6, Gerla, Mario, Editorial Board Member^Aff7, Kobayashi, Hisashi, Editorial Board Member^Aff8, Palazzo, Sergio, Editorial Board Member^Aff9, Sahni, Sartaj, Editorial Board Member^Aff10, Shen, Xuemin, Editorial Board Member^Aff11, Stan, Mircea, Editorial Board Member^Aff12, Jia, Xiaohua, Editorial Board Member^Aff13, Zomaya, Albert Y., Editorial Board Member^Aff14, Cao, Yuanlong, editor^Aff15, Shao, Xun, editor^Aff16

Source: Data Information in Online Environments : 4th EAI International Conference, DIONE 2023, Nanchang, China, November 25–27, 2023, Proceedings. 515:3-26

Deep Learning Based Fusion Model for Multivariate LTE Traffic Forecasting and Optimized Radio Parameter Estimation

Authors: Nabi, S.T., Islam, M.R., Alam, M.G.R., Hassan, M.M., AlQahtani, S.A., Aloi, G., Fortino, G.

Source: IEEE Access Access, IEEE. 11:14533-14549 2023

Training Job Placement in Clusters with Statistical In-Network Aggregation

Authors: Bohan Zhao, Wei Xu, Shuo Liu, Yang Tian, Qiaoling Wang, Wenfei Wu

Source: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1. :420-434

Subject Terms: FOS: Computer and information sciences, Computer network, Computer Networks and Communications, Internet of Things and Edge Computing, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Cloud Computing and Big Data Technologies, Computer science, 7. Clean energy, Bandwidth (computing), Distributed computing, Multiplexing, Virtual Network Embedding, 12. Responsible consumption, Algorithm, Server, Statistical time division multiplexing, Computer Science, Physical Sciences, Computation, 8. Economic growth, Telecommunications, Edge Computing, Information Systems

Bandwidth allocation of URLLC for real-time packet traffic in B5G: A Deep-RL framework

Authors: Adeeb Salh, Razali Ngah, Ghasan Ali Hussain, Mohammed A. Alhartomi, Salah Boubkar, Nor Shahida Mohd Shah, Ruwaybih Alsulami, Saeed Alzahrani

Source: ICT Express, Vol 10, Iss 2, Pp 270-276 (2024)

Subject Terms: Internet of things, Artificial intelligence, Generative adversarial networks, Device-to-Device Communication, Computer Networks and Communications, Biomedical Engineering, Wireless Body Area Networks in Healthcare, Information technology, FOS: Medical engineering, Quantum mechanics, 7. Clean energy, Bandwidth (computing), Real-time computing, 12. Responsible consumption, T Technology (General), Engineering, Quality of service, Sociology, Time allocation, Reinforcement learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Resource allocation, Deep reinforcement learning, Computer network, Network packet, Machine Learning for Networking, Physics, Transmitter, Software-Defined Networking and Network Virtualization, Next Generation 5G Wireless Networks, Power (physics), T58.5-58.64, Social science, Computer science, Software-Defined Networking, Distributed computing, FOS: Sociology, Reliability (semiconductor), Channel (broadcasting), Transmitter power output, Physical Sciences, Computer Science

File Description: text

Access URL: https://doaj.org/article/89ada556953f4d03a83b5828d2b48d86

Learn to Optimize: Adaptive VNF Provisioning in Mobile Edge Clouds

Authors: Xia, Qiufen, Ren, Wenhao, Xu, Zichuan, Zhou, Pan, Xu, Wenzheng, Wu, Guowei

Source: 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Sensing, Communication, and Networking (SECON), 2020 17th Annual IEEE International Conference on. :1-9 Jun, 2020

Relation: 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

SD-ALB: Software Defined Adaptive load balancing in Data Center Network

Authors: Riwan Fazal, Syed Mushhad Mustuzhar Gilani, Muuhammad Junaid Khalid

Source: KIET Journal of Computing and Information Sciences. 6:51-67

Subject Terms: FOS: Computer and information sciences, Packet Switching, Computer Networks and Communications, Geometry, Cloud Computing and Big Data Technologies, 7. Clean energy, Bandwidth (computing), Real-time computing, Security in SDN, Engineering, Server, Optical Communication Networks and Energy Efficiency, Load balancing (electrical power), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software-defined networking, Data center, Electrical and Electronic Engineering, Grid, SDN Controllers, Computer network, Load management, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Round-robin DNS, Computer science, Software-Defined Networking, Distributed computing, Domain Name System, OpenFlow, Operating system, Electrical engineering, Computer Science, Physical Sciences, The Internet, Mathematics, Information Systems

Network Intelligence for NFV Scaling in Closed-Loop Architectures

Authors: Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Chia‐Yu Chang, Juan Felipe Botero, Steven Latré

Source: IEEE communications magazine
IEEE Communications Magazine

Subject Terms: Artificial intelligence, Computer Networks and Communications, Memristive Devices for Neuromorphic Computing, FOS: Mechanical engineering, Zero-Touch Networks, Visual arts, Automation, Engineering, Computer security, Reinforcement learning, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Self-Adaptive Systems, Cloud computing, Electrical and Electronic Engineering, Brain-inspired Computing, Key (lock), NFV scaling, Computer. Automation, Management and Orchestration, Adaptation (eye), Machine Learning for Networking, Physics, Orchestration, Software-Defined Networking and Network Virtualization, Optics, Network Automation, Security Challenges in Smart Grid Systems, Computer science, Reinforcement Learning, Software-Defined Networking, Distributed computing, Mechanical engineering, Operating system, Control and Systems Engineering, Computer Science, Physical Sciences, Mass communications, Musical, Art

Access URL: https://repository.uantwerpen.be/docstore/d:irua:19095
https://hdl.handle.net/10067/1984940151162165141

ELISE: A Reinforcement Learning Framework to Optimize the Sloftframe Size of the TSCH Protocol in IoT Networks

Authors: F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, Xenofon Fafoutis

Source: Jurado-Lasso, F F, Barzegaran, M, Jurado, J F & Fafoutis, X 2024, ' ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks ', IEEE Systems Journal, vol. 18, no. 2, pp. 1068-1079 . https://doi.org/10.1109/JSYST.2024.3371429
IEEE Systems Journal, vol PP, iss 99

Subject Terms: Artificial intelligence, Alternative medicine, IoT Security, Internet of Things, Engineering, Quality of service, Computer security, 11. Sustainability, Reinforcement learning, Pathology, Edge Computing, wireless sensor networks, Computer network, Reinforcement learning (RL), Engineering practice and education, Internet of Things and Edge Computing, Payloads, Industrial Internet of Things (IIoT), Reliability, Virtual Network Embedding, Programming language, World Wide Web, Physical Sciences, Protocol (science), Medicine, name=SDG 11 - Sustainable Cities and Communities, The Internet, reinforcement learning, Operations Research, Computer Networks and Communications, Network management, Set (abstract data type), Quality of experience, Behavioral and Social Science, industrial Internet of Things, Electrical and Electronic Engineering, Embedded system, Schedules, Software engineering, Machine Learning for Networking, Testbed, Wireless Sensor Networks (WSNs), Software-Defined Networking and Network Virtualization, time slotted channel hopping, Computer science, User requirements document, Wireless sensor networks, Distributed computing, Network performance, Computer Science, Time slotted channel hopping (TSCH), Power demand, Engineering Practice and Education, Protocols

File Description: application/pdf

Access URL: https://orbit.dtu.dk/en/publications/b764d7d8-20b9-4ba5-b19e-ba17b9224dbd
https://escholarship.org/uc/item/4sm232mw

An Intelligent Load Balancing Technique for Software Defined Networking Based 5G Using Machine Learning Models

Authors: Sultan Almakdi, Aqsa Aqdus, Rashid Amin, Mohammed S. Alshehri

Source: IEEE Access, Vol 11, Pp 105082-105104 (2023)

Subject Terms: Computer Networks and Communications, Integration of 5G with Broadcasting Systems, Geometry, 7. Clean energy, SDN, Security in SDN, Database, load-balancing, Engineering, Cluster analysis, Quality of service, Load balancing (electrical power), Machine learning, Media Technology, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software-defined networking, software-defined networking, Electrical and Electronic Engineering, Grid, SDN Controllers, Computer network, Network topology, Network packet, Machine Learning for Networking, BPNN, machine-learning, Scalability, Software-Defined Networking and Network Virtualization, Forwarding plane, Computer science, Wireless Communication Technologies, Software-Defined Networking, Distributed computing, TK1-9971, Network traffic control, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, 5G, Mathematics

Access URL: https://doaj.org/article/a59db437744e4d39b92920099cd5144d

Routing-Based Interference Mitigation in SDN Enabled Beyond 5G Communication Networks: A Comprehensive Survey

Authors: Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, Kashif Nisar

Source: IEEE Access, Vol 11, Pp 4023-4041 (2023)

Subject Terms: wireless networks, Computer Networks and Communications, Wireless Energy Harvesting and Information Transfer, interference, 02 engineering and technology, 7. Clean energy, Security in SDN, Software defined networking, Engineering, Quality of service, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, SDN Controllers, Wireless network, Computer network, Wireless broadband, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Challenges and Opportunities in Full-Duplex Wireless Communication, Computer science, Software-Defined Networking, TK1-9971, routing, Computer Science, Physical Sciences, Wireless, Telecommunications, Self-Interference Cancellation, Electrical engineering. Electronics. Nuclear engineering, 5G

Access URL: https://doaj.org/article/725852b88a134a2ea5bd7458f9493db4

An Intrusion Detection System for SDN Using Machine Learning

Authors: G. Logeswari, Sanjay K. Bose, T. Anitha

Source: Intelligent Automation & Soft Computing. 35:867-880

Subject Terms: Artificial intelligence, Computer Networks and Communications, Feature (linguistics), Flexibility (engineering), 01 natural sciences, Security in SDN, Artificial Intelligence, Computer security, Machine learning, FOS: Mathematics, Data mining, SDN Controllers, 0105 earth and related environmental sciences, Network packet, Machine Learning for Networking, Intrusion detection system, Statistics, Software-Defined Networking and Network Virtualization, Linguistics, 16. Peace & justice, Computer science, Software-Defined Networking, Intrusion Detection, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Feature selection, Network Intrusion Detection and Defense Mechanisms, FOS: Languages and literature, The Internet, Mathematics, Random forest

Exploring Linux Algorithmic Approach as a Standard Network Configuration Language Model for Network Devices

Authors: Freeson Kaniwa

Subject Terms: FOS: Computer and information sciences, History, Computer Networks and Communications, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Standard Model (mathematical formulation), Cloud Computing and Big Data Technologies, Computer science, 7. Clean energy, Software-Defined Networking, Virtual Network Embedding, Network model, Programming language, Database, Gauge (firearms), Network Virtualization, Operating system, Archaeology, Distributed Systems, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, Information Systems

A Comparative Study of the Application of Glowworm Swarm Optimization Algorithm with other Nature-Inspired Algorithms in the Network Load Balancing Problem

Authors: T. Akhtar, N. G. Haider, Somaiya Khan

Source: Engineering, Technology & Applied Science Research. 12:8777-8784

Subject Terms: Artificial intelligence, Computer Networks and Communications, Geometry, Structural engineering, Fog Computing, Node (physics), 02 engineering and technology, 7. Clean energy, Swarm behaviour, Engineering, Load balancing (electrical power), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Grid, Internet of Things and Edge Computing, Machine Learning for Networking, 9. Industry and infrastructure, Particle swarm optimization, Mathematical optimization, Software-Defined Networking and Network Virtualization, Cuckoo search, Next Generation 5G Wireless Networks, Computer science, Algorithm, Computer Science, Physical Sciences, Mathematics

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

Authors: Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia‐Yu Chang, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Source: 8th International Conference on Software Defined Systems (SDS), DEC 06-09, 2021, ELECTR NETWORK
2021 Eighth International Conference on Software Defined Systems (SDS)
The Eighth International Conference on Software Defined Systems (SDS-2021)

Subject Terms: Artificial intelligence, Computer Networks and Communications, Latency (audio), Visual arts, PID Controller, Network Virtualization, Engineering, Server, Reinforcement learning, Cloud computing, Software-defined networking, Network Function Virtualization, Computer. Automation, Computer network, Machine Learning for Networking, Orchestration, Software-Defined Networking and Network Virtualization, Security Challenges in Smart Grid Systems, Computer science, Reinforcement Learning, Software-Defined Networking, Distributed computing, Virtual Network Embedding, Operating system, Auto-scaling, Control and Systems Engineering, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, Telecommunications, Musical, Network Functions Virtualization, Beyond 5G, Art

Access URL: https://hdl.handle.net/10067/1890480151162165141
https://repository.uantwerpen.be/docstore/d:irua:13045

Survey on Joint Paradigm of 5G and SDN Emerging Mobile Technologies: Architecture, Security, Challenges and Research Directions

Authors: Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, Kashif Nisar, Bhawani Shankar Chowdhry

Source: Wireless Personal Communications. 130:2753-2800

Subject Terms: Computer Networks and Communications, Visual arts, Security in SDN, Characterization and Detection of Android Malware, Context (archaeology), Computer security, 11. Sustainability, Architecture, Software-defined networking, Biology, SDN Controllers, Wireless network, Computer network, Software engineering, Internet of Things and Edge Computing, Machine Learning for Networking, Network architecture, Software-Defined Networking and Network Virtualization, Paleontology, Computer science, Software-Defined Networking, Implementation, Computer Science, Physical Sciences, Signal Processing, Telecommunications, Wireless, FOS: Civil engineering, Art

The performance effect due to varying network topologies on a software defined network employing the k-shortest path

Authors: Linsheng et al.

Source: International Journal of ADVANCED AND APPLIED SCIENCES. 9:134-144

Subject Terms: Shortest path problem, Computer Networks and Communications, Routing Protocols, Structural engineering, Node (physics), Link-state routing protocol, 7. Clean energy, Graph, Security in SDN, Engineering, Theoretical computer science, Dijkstra's algorithm, Constrained Shortest Path First, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software-defined networking, Electrical and Electronic Engineering, SDN Controllers, Topology (electrical circuits), Computer network, Network topology, Network packet, Internet of Things and Edge Computing, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Private Network-to-Network Interface, Computer science, Software-Defined Networking, Distributed computing, Routing protocol, Combinatorics, Computer Science, Physical Sciences, Vehicular Ad Hoc Networks and Communications, K shortest path routing, Mathematics

C3P-RPL: A collaborative and proactive approach for optimal peer to peer path selection and sustenance

Authors: T. Anusha, M. Pushpalatha

Source: Peer-to-Peer Networking and Applications. 16:914-931

Subject Terms: Ad Hoc Wireless Networks Research, Scalable Peer-to-Peer Network Architectures, Routing Protocols, Sustenance, FOS: Political science, Internet of Things, Energy-Efficient Protocols, 02 engineering and technology, Graph, Context (archaeology), Engineering, 0202 electrical engineering, electronic engineering, information engineering, Centrality, Political science, Computer network, Network topology, Internet of Things and Edge Computing, Internet topology, Betweenness centrality, Peer-to-Peer, Routing Techniques, Routing protocol, World Wide Web, Physical Sciences, Peer-to-peer, The Internet, Shortest path problem, Open Shortest Path First, Computer Networks and Communications, Structural engineering, FOS: Law, Node (physics), Link-state routing protocol, Resilient Networks, Theoretical computer science, FOS: Mathematics, Multi-hop Wireless Routing, Biology, Wireless Sensor Networks: Survey and Applications, Network packet, Machine Learning for Networking, Testbed, Software-Defined Networking and Network Virtualization, Paleontology, Computer science, Distributed computing, Combinatorics, Computer Science, Law, Mathematics

Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things

Authors: Divya Kothandaraman, M. Manickam, A. Balasundaram, D. Pradeep, A. Arulmurugan, Arun Kumar Sivaraman, Sita Rani, Barnali Dey, R. Balakrishna

Source: Intelligent Automation & Soft Computing. 34:655-666

Subject Terms: IoT Security, Computer Networks and Communications, Mobile Sensor Deployment, Structural engineering, Node (physics), Latency (audio), Quantum mechanics, 7. Clean energy, Engineering, Dynamic Source Routing, Routing algorithm, Computer network, Packet loss, Routing (electronic design automation), Wireless Sensor Networks: Survey and Applications, Network packet, Internet of Things and Edge Computing, Machine Learning for Networking, Physics, Software-Defined Networking and Network Virtualization, Routing Techniques, DSRFLOW, Relay, Power (physics), Computer science, Software-Defined Networking, Distributed computing, Routing protocol, Computer Science, Physical Sciences, Telecommunications