分布式数据采集平台中的通用节点识别和路由算法:D-Matrix

IF 1.3 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION
Zhengyang Sun, Junfeng Yang, Lei Zhang, Tianxing Wang, Ruolin Liu, Kezhu Song
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引用次数: 0

摘要

数据采集(DAQ)系统是大规模物理实验的重要组成部分。为了实现通信、控制和跟踪目的,必须明确识别所有系统组件。D-Matrix 作为一个通用的分布式流处理 DAQ 平台,可支持多种设备连接方式,包括网络、PCIe 总线、点对点光纤链路等。虽然针对每种连接方式都有成熟的节点识别解决方案,但适用于所有连接方式的统一解决方案对于通用 DAQ 平台仍然至关重要。D-Matrix 抽象出一个统一的多点对点传输模型(MPP 模型),支持各种物理连接方式,并在单个物理链路上实现多个通信通道。参照树形通用地址系统,提出了一种基于 MPP 模型的通用节点自动识别算法。只需简单配置,该算法就能实现节点自动遍历,产生基于路由的识别结果,支持大规模物理实验中常见的集群和分层节点管理要求。本文解释了该算法的细节,并介绍了基于该算法的 DAQ 系统示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A generic node identification and routing algorithm in a distributed data acquisition platform: D-Matrix
Data acquisition (DAQ) systems are vital components in large-scale physics experiments. For communication, control and tracking purposes, all system components must be unambiguously identified. D-Matrix, as a generic distributed stream processing DAQ platform, accommodates various device connection methods, including networking, PCIe bus, point-to-point optical fiber links, etc. Although there are mature node identification solutions for each connection method individually, the uniform solution applicable to all connection methods remains crucial in a generic DAQ platform. D-Matrix abstracts a unified Multiple Point-to-Point transmission model (MPP model), supporting various physical connection methods and enabling multiple communication channels on a single physical link. Referring to the tree universal address system, a generic automatic node identification algorithm is proposed based on the MPP model. With simple configuration, this algorithm enables automatic node traversal, yielding a routing-based identification result that supports clustering and hierarchical node management requirements common in large-scale physics experiments. This paper explains the details of the algorithm and presents an example of the DAQ system based on the algorithm.
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来源期刊
Journal of Instrumentation
Journal of Instrumentation 工程技术-仪器仪表
CiteScore
2.40
自引率
15.40%
发文量
827
审稿时长
7.5 months
期刊介绍: Journal of Instrumentation (JINST) covers major areas related to concepts and instrumentation in detector physics, accelerator science and associated experimental methods and techniques, theory, modelling and simulations. The main subject areas include. -Accelerators: concepts, modelling, simulations and sources- Instrumentation and hardware for accelerators: particles, synchrotron radiation, neutrons- Detector physics: concepts, processes, methods, modelling and simulations- Detectors, apparatus and methods for particle, astroparticle, nuclear, atomic, and molecular physics- Instrumentation and methods for plasma research- Methods and apparatus for astronomy and astrophysics- Detectors, methods and apparatus for biomedical applications, life sciences and material research- Instrumentation and techniques for medical imaging, diagnostics and therapy- Instrumentation and techniques for dosimetry, monitoring and radiation damage- Detectors, instrumentation and methods for non-destructive tests (NDT)- Detector readout concepts, electronics and data acquisition methods- Algorithms, software and data reduction methods- Materials and associated technologies, etc.- Engineering and technical issues. JINST also includes a section dedicated to technical reports and instrumentation theses.
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