ICALEPCS2017 - List of Authors (Kulaga, R.)

Paper	Title	Page
THPHA021	Large-Scale Upgrade Campaigns of SCADA Systems at CERN - Organisation, Tools and Lessons Learned	1384
	R. Kulaga, J.A.R. Arroyo Garcia, M. Boccioli, E. Genuardi, P. Golonka, M. Gonzalez-Berges, J-C. Tournier, F. Varela CERN, Geneva, Switzerland
	The paper describes planning and execution of large-scale maintenance campaigns of SCADA systems for CERN accelerator and technical infrastructure. These activities, required to keep up with the pace of development of the controlled systems and rapid evolution of software, are constrained by many factors, such as availability for operation and planned interventions on equipment. Experience gathered throughout the past ten years of maintenance campaigns for the SCADA Applications Service at CERN, covering over 230 systems distributed across almost 120 servers, is presented. Further improvements for the procedures and tools are proposed to adapt to the increasing number of applications in the service and reduce maintenance effort and required downtime.
	Poster THPHA021 [1.262 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA021
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THPHA037	Future Archiver for CERN SCADA Systems	1442
	P. Golonka, M. Gonzalez-Berges, J. Guzik, R. Kulaga CERN, Geneva, Switzerland
	Funding: Presented work is conducted in collaboration with ETM/Siemens in the scope of the CERN openlab project The paper presents the concept of a modular and scalable archiver (historian) for SCADA systems at CERN. By separating concerns of archiving from specifics of data-storage systems at a high abstraction level, using a clean and open interface, it will be possible to integrate various data handling technologies without a big effort. The frontend part, responsible for business logic, will communicate with one or multiple backends, which in turn would implement data store and query functionality employing traditional relational databases as well as modern NOSQL and big data solutions, opening doors to advanced data analytics and matching the growing performance requirements for data storage.
	Poster THPHA037 [7.294 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA037
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Large-Scale Upgrade Campaigns of SCADA Systems at CERN - Organisation, Tools and Lessons Learned

1384

R. Kulaga, J.A.R. Arroyo Garcia, M. Boccioli, E. Genuardi, P. Golonka, M. Gonzalez-Berges, J-C. Tournier, F. Varela
CERN, Geneva, Switzerland

The paper describes planning and execution of large-scale maintenance campaigns of SCADA systems for CERN accelerator and technical infrastructure. These activities, required to keep up with the pace of development of the controlled systems and rapid evolution of software, are constrained by many factors, such as availability for operation and planned interventions on equipment. Experience gathered throughout the past ten years of maintenance campaigns for the SCADA Applications Service at CERN, covering over 230 systems distributed across almost 120 servers, is presented. Further improvements for the procedures and tools are proposed to adapt to the increasing number of applications in the service and reduce maintenance effort and required downtime.

Poster THPHA021 [1.262 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA021

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA037

Future Archiver for CERN SCADA Systems

1442

P. Golonka, M. Gonzalez-Berges, J. Guzik, R. Kulaga
CERN, Geneva, Switzerland

Funding: Presented work is conducted in collaboration with ETM/Siemens in the scope of the CERN openlab project
The paper presents the concept of a modular and scalable archiver (historian) for SCADA systems at CERN. By separating concerns of archiving from specifics of data-storage systems at a high abstraction level, using a clean and open interface, it will be possible to integrate various data handling technologies without a big effort. The frontend part, responsible for business logic, will communicate with one or multiple backends, which in turn would implement data store and query functionality employing traditional relational databases as well as modern NOSQL and big data solutions, opening doors to advanced data analytics and matching the growing performance requirements for data storage.

Poster THPHA037 [7.294 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA037

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)