Nothing Special   »   [go: up one dir, main page]

Al-Shukrawi et al., 2020 - Google Patents

Scheduling data allocation in packet based wireless communication system using data mining

Al-Shukrawi et al., 2020

Document ID
5470454428734236100
Author
Al-Shukrawi A
Mahmood M
Ibrahim A
Publication year
Publication venue
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

External Links

Snippet

The purpose of this thesis is scheduling data allocation in large scale networks and in packet based wireless communication system, specifically in the Evolved Packet Core network (EPC) and its various systems and sub-components in order to identify possible …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic regulation in packet switching networks
    • H04L47/10—Flow control or congestion control
    • H04L47/24—Flow control or congestion control depending on the type of traffic, e.g. priority or quality of service [QoS]
    • H04L47/2441—Flow classification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Application independent communication protocol aspects or techniques in packet data networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
CN110311829B (en) Network traffic classification method based on machine learning acceleration
Alshammari et al. Identification of VoIP encrypted traffic using a machine learning approach
CN111935223B (en) Internet of things equipment processing method based on 5G and cloud computing center
CN113660140B (en) Service function chain fault detection method based on data control plane hybrid sensing
CN106603293A (en) Network fault diagnosis method based on deep learning in virtual network environment
CN117221131B (en) Internet of things communication method, system, computer equipment and storage medium
CN112437163A (en) Communication processing method and system based on block chain and big data
US20200366728A1 (en) Devices and systems for voice over internet protocol for identifying network traffic
US6639900B1 (en) Use of generic classifiers to determine physical topology in heterogeneous networking environments
Sergei Cyber resilient platform for Internet of things (IIOT/IOT) ed systems: survey of architecture patterns
Guo et al. FullSight: A feasible intelligent and collaborative framework for service function chains failure detection
CN112860558B (en) Multi-interface automatic testing method and device based on topology discovery
Al-Shukrawi et al. Scheduling data allocation in packet based wireless communication system using data mining
CN116132167B (en) Multi-protocol botnet detection method oriented to Internet of things
Widanapathirana et al. Intelligent automated diagnosis of client device bottlenecks in private clouds
Krommenacker et al. Study of algorithms to define the cabling plan of switched Ethernet for real-time applications
CN115174435A (en) Comprehensive evaluation method for performance of power communication transmission network
CN108307231A (en) Network video stream feature selecting based on genetic algorithm and recognition methods
Li et al. Identifying Skype traffic by random forest
Ashour et al. Traffic Classification in Software Defined Networks based on Machine Learning Algorithms
Sahana et al. Optimal Network Route Estimator Using Prediction Algorithms
Kopras et al. Latency-aware virtual network embedding using clusters for green fog computing
CN114710427B (en) Local area network link performance testing method based on Ethernet technology
Huang et al. Research on the Methods of Data Mining based on the Edge Computing for the IoT
CN115913994B (en) Optical network destruction-resistant method and device based on fault classification