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检索条件"任意字段=32nd International Conference on Real-Time Networks and Systems"

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RTNS 2024 - 2024 32nd international conference on real-time networks and systems

RTNS 2024 - 2024 32nd International Conference on Real-Time ...

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32nd international conference on real-time networks and systems, RTNS 2024

ISBN: (纸本)9798400717246

The proceedings contain 26 papers. The topics discussed include: ILP representation for limited preemption in energy-neutral single-core systems;total execution order in fault-tolerant real-time systems;towards a safe and latency-aware fault-tolerant scheduling technique for multi-rate task chains;the power of duality: response time analysis meets integer programming;scheduling dynamic task-sets in time-triggered real-time systems;leveraging parallelism in global scheduling to improve state space exploration in the SAG framework;towards efficient parallel GPU scheduling: interference awareness with schedule abstraction;taking one for the team: trading overhead and blocking for optimal critical-section granularity with a shared GPU;and on the feasibility of sporadic tasks with restricted parallelism on heterogeneous multiprocessors.

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2024 32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

2024 32nd International Conference on Software, Telecommunic...

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32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

ISBN: (纸本)9789532901382

The proceedings contain 105 papers. The topics discussed include: social robots in education: to select or not to select a robot for a teaching subject at an educational level?;advancing quantum communications: Q-OFDM with quantum Fourier transforms for enhanced signal integrity;anonymization-based method for privacy-preservation of users in internet services;real-time millimeter wave wireless mesh network emulation;adaptive compressive sensing image recovery using block-variance-based sampling;insights into the applications of Bayesian networks in software engineering;augmented reality interface quality of experience assessment using video game simulation;and analysis of the gamification aspects of digital educational tools using gamification classification.

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IPSN 2023 - Proceedings of the 2023 22nd international conference on Information Processing in Sensor networks

IPSN 2023 - Proceedings of the 2023 22nd International Confe...

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22nd ACM/IEEE international conference on Information Processing in Sensor networks, IPSN 2023

ISBN: (纸本)9798400701184

The proceedings contain 58 papers. The topics discussed include: POS: an operator scheduling framework for multi-model inference on edge intelligent computing;CoEdge: a cooperative edge system for distributed real-time deep learning tasks;PointSplit: towards on-device 3D object detection with heterogenous low-power accelerators;addressing practical challenges in acoustic sensing to enable fast motion tracking;CMA: cross-modal association between wearable and structural vibration signal segments for indoor occupant sensing;interpersonal distance tracking with mmWave radar and IMUs;mmRipple: communicating with mmWave radars through smartphone vibration;DeepGANTT: a scalable deep learning scheduler for backscatter networks;ARSteth: enabling home self-screening with AR-assisted intelligent stethoscopes;hydra: concurrent coordination for fault-tolerant networking;MicroDeblur: image motion deblurring on microcontroller-based vision systems;and mosaic: extremely low-resolution RFID vision for visually-anonymized action recognition.

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A Performance Evaluation of QUIC in real-time networks 24

A Performance Evaluation of QUIC in Real-Time Networks

引用

32nd international conference on real-time networks and systems

作者： Amet, Matthieu Thomas, Ludovic Song, Ye-Qiong Univ Lorraine Loria Villers Les Nancy France CNRS Loria Villers Les Nancy France

ISBN: (纸本)9798400717246

QUIC is a UDP-based transport protocol, standardized in RFC9000 (2021). It enhances privacy by encrypting entire packets and offers improvements over TCP, such as native multiplexing and connection migration. Despite these advantages, QUIC, like TCP, suffers from head-of-line blocking and variable latency, making it unsuitable for critical real-time systems. RFC9221 addresses this by introducing an extension that allows QUIC to transmit datagrams without retransmission, improving its suitability for real-time applications. However, real-time networks require a thorough evaluation of QUIC's performance. The potential delays caused by its cryptographic operations and the complex traffic patterns it generates could impact time-sensitive traffic. We conduct experiments using Mininet across a range of scenarios, including software updates in bandwidth-constrained environments and in the presence of malicious nodes. Additionally, we assess implementations in both Go and C. The performance of QUIC, along with its datagram extension, is compared against UDP and DTLS. Finally, the results are validated through testing on a physical network testbed. Our results show that, despite its cryptographic overhead, QUIC performs similarly to UDP and DTLS in most cases. However, it may interact poorly with lower-layer mechanisms like token-bucket filters. Overall, QUIC shows potential to replace older transport protocols in real-time systems.

关键词： QUIC Network Performance Latency real-time Reliability Evaluation

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Approximating Closed Queueing networks in Semi-Markov Random Environments 32

Approximating Closed Queueing Networks in Semi-Markov Random...

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32nd international conference on Modeling, Analysis and Simulation of Computer and Telecommunication systems

作者： Zhou, Yaqi Sheldon, Matthew Casale, Giuliano Imperial Coll London Dept Comp London England

ISBN: (纸本)9798331531317;9798331531300

Modeling queueing networks in random environments is a challenging problem that finds application in routing, reliability analysis, and evaluation of systems processing bursty workloads. In this paper, we introduce a method to evaluate closed queueing networks in random environments that can deal with non-Markovian transitions among environment stages and accurately approximate time-averaged performance metrics. Our technique supports both state-independent and state-dependent random environments, the latter allowing us to analyze challenging queueing network models with bursty service processes. Using simulation on representative case studies, we show that our technique provides low approximation errors. We further demonstrate the applicability of our result to a mobility case study demonstrating the applicability of the proposed approach.

关键词： Semi-Markov random environments mean field approximation performance analysis

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Gymir5G: A Simulation Platform to Study Data Transmission over WebRTC in 5G networks with Deep Learning Assistance 32

Gymir5G: A Simulation Platform to Study Data Transmission ov...

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32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

作者： Smirnov, Nikita Tomforde, Sven Kiel University Department of Computer Science Intelligent Systems Kiel Germany

ISBN: (纸本)9789532901382

This paper presents Gymir5G, an open-source simulation platform for running various simulated scenarios in 4/5G and Wi-Fi networks. It is primarily designed to study the optimization of real-time multimedia data transmission in cellular networks using deep learning algorithms, later to apply the resulting trained models on real remote-controlled devices. Based on the INET and Simu5G libraries from the OMNeT++ discrete event simulator ecosystem written in C++, Gymir5G introduces three main features. First, it presents a basic version of the WebRTC protocol with all of its key congestion control, retransmission, and redundancy mechanisms implemented. Second, there is a separate Python project, GymirDRL, which introduces a deep reinforcement learning setup as an example of a deep learning method applied to data optimization, and an inter-process communication bridge to integrate simulation and learning parts under one solution. Gymir5G provides realistic base station parameters, configurable data streams, and different scenarios including non-standalone and standalone 5G networks, as well as multihoming configurations for the parallel use of cellular and wireless stacks. Finally, Gymir5G presents two example simulations, one of which is designed for the real geographic area in the Bay of Kiel, Germany, and the moving ship as a remote-controlled device. © 2024 University of Split, FESB.

关键词： 5G mobile communication systems

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real-time Millimeter Wave Wireless Mesh Network Emulation 32

Real-time Millimeter Wave Wireless Mesh Network Emulation

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32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

作者： Seppanen, Kari Vtt Technical Research Centre of Finland Espoo Finland

ISBN: (纸本)9789532901382

In this paper, we describe a wireless mesh emulation system that is designed to emulate millimeter wave wireless connections for backhaul applications. As a background, the architecture and special features of the target WMN concept are presented as well as motivations to build a custom emulation environment for developing and testing this concept. The overall emulator architecture and its main functionality is described with some discussions about further extensions. The main idea of this real-time emulator is to utilize network nodes running on network processor platform to implement the WMN node functionality, and to use high-throughput Ethernet switch and 10 G bit s fiber optic connections to emulate radio layer functionality. The main role here is located in an emulation shim layer that filters Ethernet frames in such way that the required radio layer behavior can be emulated. While this kind of emulation cannot capture all the radio layer behavior, it is sufficient to emulate multi-Gbit/s E band WMN with narrow pencil shaped beams and to capture link layer behavior in real time. This makes it possible to develop and test all link and network layer functionality, including time synchronization, of the WMN nodes. © 2024 University of Split, FESB.

关键词： Wireless mesh networks (WMN)

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Automated Data Correlation for IoT Anomaly Detection with B5G networks 32

Automated Data Correlation for IoT Anomaly Detection with B5...

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32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

作者： Khatri, Vikramajeet Monshizadeh, Mehrnoosh Hojjatinia, Sina Kriaa, Siwar Mahonen, Petri Nokia Bell Labs Finland Nokia Bell Labs France Aalto University Department of Information and Communication Engineering Finland Nokia France

ISBN: (纸本)9789532901382

Smart city monitoring technologies, including IoT devices like sensors and smart cameras, enable real-time anomaly detection by analyzing data from various locations. While video and audio can identify unsafe activities, camera coverage is limited, necessitating audio detectors for out-of-sight incidents. Static methods do not perform well under conditions like low-quality voice due to illness or mood, highlighting the need for a dynamic mechanism to orchestrate data collection, clean background noise, correlate data, and identify public safety incidents. This paper addresses challenges in correlating data from IoT devices at different locations, orchestrating information among various IoT service providers, and ensuring communication between IoT and network domains. The proposed architecture leverages AI to analyze IoT data in real-time for automatic anomaly detection, making it well-suited for AI-enabled Beyond 5G (B5G) networks. Analysis results are sent to operators via orchestrators to pinpoint the location of anomalous IoT devices. This information is also relayed to public safety agencies for appropriate action. Unlike existing systems focused on audio and video data, the proposed architecture can be applied to any IoT data, enhancing monitoring and detection capabilities. © 2024 University of Split, FESB.

关键词： 5G mobile communication systems

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Towards real-time Intrusion Detection in P4-Programmable 5G User Plane Functions 32

Towards Real-Time Intrusion Detection in P4-Programmable 5G ...

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32nd international conference on Network Protocols

作者： Tanyi-Jong Akem, Aristide Fiore, Marco IMDEA Networks Inst Madrid Spain Univ Carlos III Madrid Madrid Spain

ISBN: (纸本)9798350351712;9798350351729

Recent works have shown that Machine Learning (ML) models can be deployed in P4-programmable user planes for line rate inference on live traffic and that these user planes can also be used to accelerate the 5G User Plane Function (UPF). This work builds on these capabilities to explore how ML inference in the user plane can facilitate real-time intrusion detection in 5G networks. As a proof-of-concept, we describe how an ML model could be deployed into the UPF as a special Packet Detection Rule (PDR). We then train and deploy a tree-based classifier into a P4-programmable switch acting as the UPF and conduct experiments on a testbed with off-the-shelf hardware using experimental data from a 5G test network on a university campus. Our results confirm that running ML-based intrusion detection on P4-based UPFs ensures line-rate attack detection and classification with an accuracy of up to 98% in terms of F1 score, while keeping switch resource consumption increase under control.

关键词： Machine learning 5G user plane function P4

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real-time Video Streaming in MPT-GRE Multipath networks 32

Real-Time Video Streaming in MPT-GRE Multipath Networks

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32nd international conference on Software, Telecommunications and Computer networks, SoftCOM 2024

作者： Al-Imareen, Naseer Lencse, Gabor Széchenyi István University Department of Telecommunications Győr Hungary

ISBN: (纸本)9789532901382

real-time video streaming over a multipath system enhances the quality of video delivery by diminishing packet loss, latency, and congestion, which eventually improves service quality and user experience. This paper addresses technical issues related to multipath routing, including path selection, packet scheduling, and path matching, and proposes solutions such as MPT-GRE. The effectiveness of MPT-GRE is assessed using recognized metrics such as PSNR, SSIM, and MSE, which are used to quantify differences in video quality. The paper aims to explore challenges and solutions in real-time video streaming over multipath networks, mainly focusing on MPT-GRE, while also quantitatively assessing the impact of streaming on video quality. In this paper, we selected a set of videos with different resolutions and specifications from the Waterloo Streaming QoE Database. The study measures how video quality assessment metrics influence streamed video through a network using the MPT-GRE communication library and demonstrates the efficiency of real-time video streaming using MPT-GRE. This paper presents evidence that MPT-GRE improves high-resolution video streaming, leading to a smoother and more reliable experience. These enhancements are validated using metrics such as PSNR, SSIM, and MSE, demonstrating the effectiveness of MPT-GRE in maintaining high video quality in multipath network environments. © 2024 University of Split, FESB.

关键词： Video streaming

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