RAVEN - Boosting data analysis for the LHC experiments

Michael Schmelling; Markward Britsch; Nikolai Gagunashvili; Hans Kristjan Gudmundsson; Helmut Neukirchen; Nicola Whitehead

doi:10.1007/978-3-642-28145-7_21

RAVEN - Boosting data analysis for the LHC experiments

Michael Schmelling, Markward Britsch, Nikolai Gagunashvili, Hans Kristjan Gudmundsson, Helmut Neukirchen, Nicola Whitehead

Faculty of Industrial Engineering, Mechanical Engineering and Computer Science

University of Iceland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The analysis and visualization of the LHC data is a good example of human interaction with petabytes of inhomogeneous data. After outlining the computational requirements for an efficient analysis of such data sets, a proposal, RAVEN - a Random Access, Visualization and Exploration Network for petabyte sized data sets, for a scalable architecture meeting these demands is presented. The proposed hardware basis is a network of "CSR"-units based on off-the-shelf components, which combine Computing, data Storage and Routing functionalities. At the software level efficient protocols for broadcasting information, data distribution and information collection are required, together with a middleware layer for data processing.

Original language	English
Title of host publication	Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers
Pages	206-214
Number of pages	9
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-28145-7_21
Publication status	Published - 2012
Event	10th International Conference on Applied Parallel and Scientific Computing, PARA 2010 - Reykjavik, Iceland Duration: 6 Jun 2010 → 9 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7134 LNCS

Conference

Conference	10th International Conference on Applied Parallel and Scientific Computing, PARA 2010
Country/Territory	Iceland
City	Reykjavik
Period	6/06/10 → 9/06/10

Other keywords

CSR-unit
LHC
Particle Physics
RAVEN
data analysis

Access to Document

10.1007/978-3-642-28145-7_21

Cite this

Schmelling, M., Britsch, M., Gagunashvili, N., Gudmundsson, H. K., Neukirchen, H., & Whitehead, N. (2012). RAVEN - Boosting data analysis for the LHC experiments. In Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers (PART 2 ed., pp. 206-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7134 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-28145-7_21

Schmelling, Michael ; Britsch, Markward ; Gagunashvili, Nikolai et al. / RAVEN - Boosting data analysis for the LHC experiments. Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers. PART 2. ed. 2012. pp. 206-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "RAVEN - Boosting data analysis for the LHC experiments",

abstract = "The analysis and visualization of the LHC data is a good example of human interaction with petabytes of inhomogeneous data. After outlining the computational requirements for an efficient analysis of such data sets, a proposal, RAVEN - a Random Access, Visualization and Exploration Network for petabyte sized data sets, for a scalable architecture meeting these demands is presented. The proposed hardware basis is a network of {"}CSR{"}-units based on off-the-shelf components, which combine Computing, data Storage and Routing functionalities. At the software level efficient protocols for broadcasting information, data distribution and information collection are required, together with a middleware layer for data processing.",

keywords = "CSR-unit, LHC, Particle Physics, RAVEN, data analysis",

author = "Michael Schmelling and Markward Britsch and Nikolai Gagunashvili and Gudmundsson, \{Hans Kristjan\} and Helmut Neukirchen and Nicola Whitehead",

year = "2012",

doi = "10.1007/978-3-642-28145-7\_21",

language = "English",

isbn = "9783642281440",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "206--214",

booktitle = "Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers",

edition = "PART 2",

note = "10th International Conference on Applied Parallel and Scientific Computing, PARA 2010 ; Conference date: 06-06-2010 Through 09-06-2010",

}

Schmelling, M, Britsch, M, Gagunashvili, N, Gudmundsson, HK, Neukirchen, H & Whitehead, N 2012, RAVEN - Boosting data analysis for the LHC experiments. in Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7134 LNCS, pp. 206-214, 10th International Conference on Applied Parallel and Scientific Computing, PARA 2010, Reykjavik, Iceland, 6/06/10. https://doi.org/10.1007/978-3-642-28145-7_21

RAVEN - Boosting data analysis for the LHC experiments. / Schmelling, Michael; Britsch, Markward; Gagunashvili, Nikolai et al.
Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers. PART 2. ed. 2012. p. 206-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7134 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Britsch, Markward

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AU - Gudmundsson, Hans Kristjan

AU - Neukirchen, Helmut

AU - Whitehead, Nicola

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AB - The analysis and visualization of the LHC data is a good example of human interaction with petabytes of inhomogeneous data. After outlining the computational requirements for an efficient analysis of such data sets, a proposal, RAVEN - a Random Access, Visualization and Exploration Network for petabyte sized data sets, for a scalable architecture meeting these demands is presented. The proposed hardware basis is a network of "CSR"-units based on off-the-shelf components, which combine Computing, data Storage and Routing functionalities. At the software level efficient protocols for broadcasting information, data distribution and information collection are required, together with a middleware layer for data processing.

KW - CSR-unit

KW - LHC

KW - Particle Physics

KW - RAVEN

KW - data analysis

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Schmelling M, Britsch M, Gagunashvili N, Gudmundsson HK, Neukirchen H, Whitehead N. RAVEN - Boosting data analysis for the LHC experiments. In Applied Parallel and Scientific Computing - 10th International Conference, PARA 2010, Revised Selected Papers. PART 2 ed. 2012. p. 206-214. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-28145-7_21

RAVEN - Boosting data analysis for the LHC experiments

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