Results 21 to 30 of about 103,550 (267)
Scheduling network traffic [PDF]
ACM SIGMETRICS Performance Evaluation Review, 2007 We discuss the potential of packet scheduling as a means to control traffic and improve performance for both wired and wireless links. Using simple queuing models that take into account the random nature of traffic, we draw practical conclusions about the expected gains and limits of scheduling.
Bonald, Thomas, Roberts, James
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IEEE Access, 2020 Device type identification (DTI) is one of the most important techniques for the management of Internet of things (IoT). Recently, deep learning (DL) has been considered as a powerful tools for classification or identification, and some researches have ...
Guangwei Qing +3 more
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Sensors, 2022 Currently, Android apps are easily targeted by malicious network traffic because of their constant network access. These threats have the potential to steal vital information and disrupt the commerce, social system, and banking markets. In this paper, we
Farhan Ullah +5 more
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Traffic network design by cellular automaton-based traffic simulator
Computer Assisted Methods in Engineering and Science, 2017 Braess pointed out that adding a new road to overcome a traffic congestion could cause a new traffic congestion leading to the reduction of the traffic flow in the whole traffic network, which is called Braess' paradox.
Eisuke Kita +3 more
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Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
Mathematics, 2023 Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based malware detection techniques have a large amount of redundancy and useless ...
Kai Lu, Jieren Cheng, Anli Yan
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Sensors, 2022 Network data traffic is increasing with expanded networks for various applications, with text, image, audio, and video for inevitable needs. Network traffic pattern identification and analysis of traffic of data content are essential for different needs ...
Nagaiah Mohanan Balamurugan +3 more
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Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model
ModellingAccurate, efficient, and reliable traffic flow prediction is pivotal for highway operation and management. However, traffic flow series present nonlinear, heterogeneous, and stochastic characteristics, posing significant challenges to precise prediction.
Yongjun Wu +5 more
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Network Traffic Prediction Method Based on Improved Echo State Network
IEEE Access, 2018 The network traffic sequence has the complex characters, such as mutability, chaos, timeliness, and nonlinearity, which bring many difficulties to network traffic prediction.
Jian Zhou +4 more
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Prediction of Network Traffic of Smart Cities Based on DE-BP Neural Network
IEEE Access, 2019 Smart cities make full use of information technology so as to make intelligence responses to all requirements, including network and city services. This paper proposes a differential evolution back propagation (DE-BP) neural network traffic prediction ...
Xiuqin Pan +3 more
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Современная наука и инновации, 2022 An approach to the development and study of a load balancing system for data centers (DC) taking into account the fractal properties of network traffic is proposed. The fractal properties of network traffic make it possible to predict, with a fairly high
G. I. Linets +3 more
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