ICALEPCS2017 - List of Authors (Pocwierz, M.P.)

Paper	Title	Page
THPHA152	Renovation and Extension of Supervision Software Leveraging Reactive Streams	1753
	M.A. Galilée, A. Calia, J.Q.C. Do, K. Fuchsberger, J.C. Garnier, K.H. Krol, M. Osinski, M.P. Pocwierz, T.M. Ribeiro, A. Stanisz, M. Zerlauth CERN, Geneva, Switzerland
	Inspired by the recent developments of reactive programming and the ubiquity of the concept of streams in modern software industry, we assess the relevance of a reactive streams solution in the context of accelerator controls. The promise of reactive streams, to govern the exchange of data across asynchronous boundaries at a rate sustainable for both the sender and the receiver, is alluring to most data-centric processes of CERN's accelerators. Taking advantage of the renovation of one key software piece of our supervision layer, the Beam Interlock System GUI, we look at the architecture, design and implementation of a reactive streams based solution. Additionally, we see how this model allows us to re-use components and contributes naturally to the extension of our tool set. Lastly, we detail what hindered our progression and how our solution can be taken further.
	Poster THPHA152 [0.879 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA152
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA178	A Framework for Online Analysis Based on Tensorics Expressions and Streaming Pool	1848
	A. Calia, K. Fuchsberger, M. Gabriel, M. Hostettler, M. Hruska, M.P. Pocwierz CERN, Geneva, Switzerland
	Among other functionalities, the tensorics library provides a framework to declaratively describe expressions of arbitrary values and resolve these expressions in different contexts. The Streaming Pool framework provides a comfortable way to transform arbitrary signals from devices into long-living reactive streams. The combination of these two concepts provides a powerful tool to describe modules for online analysis. In this paper we describe this approach, elaborate on the general concepts and give an overview of actual and potential use cases as well as ideas and plans for future evolution.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA178
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Renovation and Extension of Supervision Software Leveraging Reactive Streams

1753

M.A. Galilée, A. Calia, J.Q.C. Do, K. Fuchsberger, J.C. Garnier, K.H. Krol, M. Osinski, M.P. Pocwierz, T.M. Ribeiro, A. Stanisz, M. Zerlauth
CERN, Geneva, Switzerland

Inspired by the recent developments of reactive programming and the ubiquity of the concept of streams in modern software industry, we assess the relevance of a reactive streams solution in the context of accelerator controls. The promise of reactive streams, to govern the exchange of data across asynchronous boundaries at a rate sustainable for both the sender and the receiver, is alluring to most data-centric processes of CERN's accelerators. Taking advantage of the renovation of one key software piece of our supervision layer, the Beam Interlock System GUI, we look at the architecture, design and implementation of a reactive streams based solution. Additionally, we see how this model allows us to re-use components and contributes naturally to the extension of our tool set. Lastly, we detail what hindered our progression and how our solution can be taken further.

Poster THPHA152 [0.879 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA152

Export •

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

THPHA178

A Framework for Online Analysis Based on Tensorics Expressions and Streaming Pool

1848

A. Calia, K. Fuchsberger, M. Gabriel, M. Hostettler, M. Hruska, M.P. Pocwierz
CERN, Geneva, Switzerland

Among other functionalities, the tensorics library provides a framework to declaratively describe expressions of arbitrary values and resolve these expressions in different contexts. The Streaming Pool framework provides a comfortable way to transform arbitrary signals from devices into long-living reactive streams. The combination of these two concepts provides a powerful tool to describe modules for online analysis. In this paper we describe this approach, elaborate on the general concepts and give an overview of actual and potential use cases as well as ideas and plans for future evolution.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA178

Export •

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