台湾光子源计划档案系统之实现与效能分析

Yung-Sen Cheng, C. Liao, Jenny Chen, K. Hsu
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引用次数: 1

摘要

EPICS框架被选为3 GeV同步加速器光源(台湾光子源,TPS)新项目的控制系统基础设施。各种带有EPICS机制的TPS控制系统原型已经逐步建立和测试。为了实现长时间的记录,需要开发一个EPICS数据归档系统来记录各种机器参数和状态信息。归档引擎通过通道访问从EPICS IOCs获取PV数据,并将其存储在数据存储中。TPS档案系统的数据存储采用PostgreSQL RDB(关系型数据库)。历史pv(流程变量)数据和归档引擎配置都保存到同一个RDB中。在数据浏览器的图形用户界面中可以检索归档的数据。考虑到性能和冗余,对存储服务器和RDB表结构进行了相对调优。最常用于判断系统性能的主要因素是平均响应时间。提出了排队模型方法来分析基于网络的归档系统的性能,并将该体系结构简化为串行和并行的排队模型,推导出平均响应时间方程。然后将该方法应用于实际的串行和并行网络系统的近似响应时间估计。本文介绍了所做的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and Performance Analysis of the Archive System for the Taiwan Photon Source Project
The EPICS framework was chosen as control system infrastructure for the new project of 3 GeV synchrotron light source (Taiwan Photon Source, TPS). Various control system prototypes of TPS with the EPICS mechanism have been gradually built and tested. One EPICS data archive system is necessary to be developed to record various machine parameters and status information for long time logging. An archive engine takes PV data from EPICS IOCs via channel access, and stores them in the data storage. The PostgreSQL RDB (Relational Database) was adopted as the data storage for the TPS archive system. Both the historic PVs (Process Variable) data and the archive engine configuration are saved into the same RDB. The archived data can be retrieved in the graphical user interface of data browser. Taking the performance and redundancy into considerations, the storage servers and RDB table structures are tuned relatively. The primary factor most common used to judge system performance is the mean response time. We propose the queueing model method to analyze the performance of a network-based archive system, and simplify the architecture as the queueing model in serial and parallel to derive the equations of mean response time. Then we apply the proposed method to estimate the approximate response time of the actual network-based system which constructed in serial and in parallel. The efforts are described at this paper.
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