The TDAQ Analytics Dashboard: a real-time web application for the ATLAS TDAQ control infrastructure

被引:4
|
作者
Miotto, Giovanna Lehmann [1 ]
Magnoni, Luca [1 ]
Sloper, John Erik [1 ]
机构
[1] CERN, European Lab Particle Phys, CH-1211 Geneva, Switzerland
关键词
D O I
10.1088/1742-6596/331/2/022019
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The ATLAS Trigger and Data Acquisition (TDAQ) infrastructure is responsible for filtering and transferring ATLAS experimental data from detectors to mass storage systems. It relies on a large, distributed computing system composed of thousands of software applications running concurrently. In such a complex environment, information sharing is fundamental for controlling applications behavior, error reporting and operational monitoring. During data taking, the streams of messages sent by applications and data published via information services are constantly monitored by experts to verify the correctness of running operations and to understand problematic situations. To simplify and improve system analysis and errors detection tasks, we developed the TDAQ Analytics Dashboard, a web application that aims to collect, correlate and visualize effectively this real time flow of information. The TDAQ Analytics Dashboard is composed of two main entities that reflect the twofold scope of the application. The first is the engine, a Java service that performs aggregation, processing and filtering of real time data stream and computes statistical correlation on sliding windows of time. The results are made available to clients via a simple web interface supporting SQL-like query syntax. The second is the visualization, provided by an Ajax-based web application that runs on client's browser. The dashboard approach allows to present information in a clear and customizable structure. Several types of interactive graphs are proposed as widgets that can be dynamically added and removed from visualization panels. Each widget acts as a client for the engine, querying the web interface to retrieve data with desired criteria. In this paper we present the design, development and evolution of the TDAQ Analytics Dashboard. We also present the statistical analysis computed by the application in this first period of high energy data taking operations for the ATLAS experiment.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A Management and Control Infrastructure for Integrated Real-Time Simulation Environment
    Xu, Xiao
    Li, Ge
    17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON DISTRIBUTED SIMULATION AND REAL TIME APPLICATIONS (DS-RT 2013), 2013, : 197 - 204
  • [32] Embedded Web server creates real-time control
    不详
    INTECH, 1999, 46 (05) : 34 - 34
  • [33] Concurrency Control of Real-Time Web Service Transactions
    Dang, De-Peng
    Jiang, Xue
    Wang, Nan
    Ya, Ying-Ting
    Yao, Wen-Bin
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2018, 34 (01) : 261 - 287
  • [34] Web-based real-time control system
    Huang, Jian
    Yu, Hanqi
    Jisuanji Gongcheng/Computer Engineering, 2004, 30 (22):
  • [35] Real-time control with Linux: A web services approach
    Basso, Michele
    Bucher, Roberto
    Romagnoli, Marco
    Vassalli, Massimo
    2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8, 2005, : 2733 - 2738
  • [36] Who's Readmitted for Heart Failure and Why? Real-time Capture of Admissions through an Institutional Analytics Dashboard
    Hernandez-Colon, Aimee
    Lemkhen, Markuss
    Motyka, Tomasz F.
    Shen, Ying
    Weiss, Jeffrey M.
    Di Palo, Katherine E.
    JOURNAL OF CARDIAC FAILURE, 2018, 24 (08) : S90 - S90
  • [37] An ActiveX control for real-time computer control - A real "toy" application
    Huddleston, CH
    Troy, DA
    DR DOBBS JOURNAL, 1998, 23 (02): : 94 - +
  • [38] Real-time streaming mobility analytics
    Garzo, Andras
    Benczur, Andras A.
    Sidlo, Csaba Istvan
    Tahara, Daniel
    Wyatt, Erik Francis
    2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013,
  • [39] From Sensors to Real-time Analytics
    Fortuna, Carolina
    Grobelnik, Marko
    ELEKTROTEHNISKI VESTNIK-ELECTROCHEMICAL REVIEW, 2012, 79 (05): : 273 - 277
  • [40] Real-Time Dashboard for Identifying Overdose Touchpoints in Indiana
    Ray, Bradley
    Huntsinger, Douglas
    Christian, Kaitlyn
    Gillenwater, Logan
    Rinderle, Abigail
    Dir, Allyson
    Aalsma, Matthew C.
    Reda, Khairi
    JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE, 2025, 31 (01): : 29 - 33