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
  • [41] Multimodal social intelligence in a real-time dashboard system
    Daniel Gruhl
    Meena Nagarajan
    Jan Pieper
    Christine Robson
    Amit Sheth
    The VLDB Journal, 2010, 19 : 825 - 848
  • [42] GPGPU for Real-Time Data Analytics
    He, Bingsheng
    Huynh Phung Huynh
    Mong, Rick Goh Siow
    PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012), 2012, : 945 - +
  • [43] Squall: Scalable Real-time Analytics
    Vitorovic, Aleksandar
    Elseidy, Mohammed
    Guliyev, Khayyam
    Khue Vu Minh
    Espino, Daniel
    Dashti, Mohammad
    Klonatos, Yannis
    Koch, Christoph
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2016, 9 (13): : 1553 - 1556
  • [44] Real-time enrollment dashboard for multisite clinical trials
    Mattingly, William A.
    Kelley, Robert R.
    Wiemken, Timothy L.
    Chariker, Julia H.
    Peyrani, Paula
    Guinn, Brian E.
    Binford, Laura E.
    Buckner, Kimberley
    Ramirez, Julio
    CONTEMPORARY CLINICAL TRIALS COMMUNICATIONS, 2015, 1 : 17 - 21
  • [45] Multimodal social intelligence in a real-time dashboard system
    Gruhl, Daniel
    Nagarajan, Meena
    Pieper, Jan
    Robson, Christine
    Sheth, Amit
    VLDB JOURNAL, 2010, 19 (06): : 825 - 848
  • [46] An application of real-time control systems to robotics
    Monroy, C
    Campa, R
    Kelly, R
    ROBOTICA, 2001, 19 (03) : 323 - 329
  • [47] Application and validation of registration framework for real-time atlas guided biopsy
    Narayanan, R.
    Shen, D.
    Davatzikos, C.
    Crawford, D. E.
    Barqawi, A.
    Werahera, P. N.
    Kumar, D.
    Suri, J. S.
    2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4, 2008, : 1175 - +
  • [48] A Reference Web Architecture and Patterns for Real-time Visual Analytics on Large Streaming Data
    Kandogan, Eser
    Soroker, Danny
    Rohall, Steven
    Bak, Peter
    van Ham, Frank
    Lu, Jie
    Ship, Harold-Jeffrey
    Wang, Chun-Fu
    Lai, Jennifer
    VISUALIZATION AND DATA ANALYSIS 2014, 2014, 9017
  • [49] Real-time prediction of physicochemical and toxicological endpoints using the web-based CompTox Chemistry Dashboard
    Williams, Antony
    Martin, Todd
    Tkachenko, Valery
    Grulke, Christopher
    Mansouri, Kamel
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [50] Crowdsourced Web Application Testing Under Real-Time Constraints
    Guo, Shikai
    Chen, Rong
    Li, Hui
    Gao, Jian
    Liu, Yaqing
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2018, 28 (06) : 751 - 779