在 FlexRay 中高效处理零星信息

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2024-09-06 DOI:10.1016/j.peva.2024.102444
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引用次数: 0

摘要

FlexRay 是一种高带宽协议,支持现代车载通信网络中的硬限期定期和零星流量。FlexRay 的动态段用于传输硬限期零星信息。在本文中,我们介绍了一种最小化 FlexRay 循环中动态段持续时间的算法,其结果优于文献中的现有算法。所提出的算法包括两个阶段。在第一阶段,我们假设零星信息实例只与每个较高优先级信息的一个实例争夺服务。第一阶段提供的下限可作为第二阶段使用的迷你槽数量的初始猜测,第二阶段将进行精确的调度分析。在第二阶段,零星信息可能会与每个优先级较高信息的多个实例争夺服务。这种两阶段方法之所以高效,是因为第一阶段的开销较低,其估计值大大减少了第二阶段所需的迭代次数。我们使用文献中提供的数据集和 SAE 基准数据集进行了实验。实验结果表明,与其他算法相比,该算法在带宽最小化和计算效率方面更胜一筹。
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Efficient handling of sporadic messages in FlexRay

FlexRay is a high-bandwidth protocol that supports hard-deadline periodic and sporadic traffic in modern in-vehicle communication networks. The dynamic segment of FlexRay is used for transmitting hard deadline sporadic messages. In this paper, we describe an algorithm to minimize the duration of the dynamic segment in a FlexRay cycle, yielding better results than existing algorithms in the literature. The proposed algorithm consists of two phases. In the first phase, we assume that a sporadic message instance contends for service with only one instance of each higher-priority message. The lower bound provided by the first phase serves as the initial guess for the number of mini-slots used in the second phase, where an exact scheduling analysis is performed. In the second phase, a sporadic message may contend for service with multiple instances of each higher-priority message. This two-phase approach is efficient because the first phase has low overhead and its estimate greatly reduces the number of iterations needed in the second phase. We conducted experiments using the dataset provided in the literature as well as the SAE benchmark dataset. The experimental results demonstrate superior bandwidth minimization and computational efficiency compared to other algorithms.

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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
期刊最新文献
An experimental study on beamforming architecture and full-duplex wireless across two operational outdoor massive MIMO networks Probabilistic performance evaluation of the class-A device in LoRaWAN protocol on the MAC layer Optimal resource management for multi-access edge computing without using cross-layer communication Efficient handling of sporadic messages in FlexRay Network-calculus service curves of the interleaved regulator
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