Data Historians in the Data Management Landscape

  • Brice Chardin
  • Jean-Marc Lacombe
  • Jean-Marc Petit
Conference paper

DOI: 10.1007/978-3-642-36727-4_9

Volume 7755 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Chardin B., Lacombe JM., Petit JM. (2013) Data Historians in the Data Management Landscape. In: Nambiar R., Poess M. (eds) Selected Topics in Performance Evaluation and Benchmarking. TPCTC 2012. Lecture Notes in Computer Science, vol 7755. Springer, Berlin, Heidelberg

Abstract

At EDF, a leading energy company, process data produced in power stations are archived both to comply with legal archiving requirements and to perform various analysis applications. Such data consist of timestamped measurements, retrieved for the most part from process data acquisition systems. After archival, past and current values are used for various applications, including device monitoring, maintenance assistance, decision support, statistics publication, etc.

Large amounts of data are generated in these power stations, and aggregated in soft real-time – without operational deadlines – at the plant level by local servers. For this long-term data archiving, EDF relies on data historians – like InfoPlus.21, PI or Wonderware Historian – for years. This is also true for other energy companies worldwide and, in general, industry based on automated processes.

In this paper, we aim at answering a simple, yet not so easy, question: how can data historians be placed in the data management landscape, from classical RDBMSs to NoSQL systems? To answer this question, we first give an overview of data historians, then discuss benchmarking these particular systems. Although many benchmarks are defined for conventional database management systems, none of them are appropriate for data historians. To establish a first objective basis for comparison, we therefore propose a simple benchmark inspired by EDF use cases, and give experimental results for data historians and DBMSs.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Brice Chardin
    • 1
    • 2
  • Jean-Marc Lacombe
    • 1
  • Jean-Marc Petit
    • 2
  1. 1.EDF R&DFrance
  2. 2.Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205France