Integrating Instruments in the Grid for On-line and Off-line Processing in a Synchrotron Radiation Facility
Pugliese Roberto, Prica Milan, Kourousias George, Del Linz Andrea, Curri Alessio
Sincrotrone Trieste SCpA, Strada Statale 14 – km 163,5 in AREA Science Park
34012 Basovizza, Trieste, Italy
e-mail: {roberto.pugliese/milan.prica/george.kourousias/andrea.dellinz/alessio.curri}@elettra.trieste.it
Received:
Received: 8 November 2008; published online: 25 March 2009
DOI: 10.12921/cmst.2009.15.01.21-30
OAI: oai:lib.psnc.pl:660
Abstract:
Experimental stations in facilities like Synchrotrons and Free Electron Lasers produce very large data sets. With access to distributed computing paradigms and Grid infrastructures, the data are processed on-line. This requires considerable computing power and storage requirements. Moreover, the constant advances in sensors, detectors, and light source technologies yield frequent upgrades of the instrumentation and proportional increase of the computing requirements. Other than the computing needs, a key-point for successful experiments is the efficient collaboration between the involved scientists and their convenient access to the research facilities. A viable solution is developing suitable infrastructures that allow remote operation of the experimental facilities. We focus on the importance of the transparent integration of instruments in the traditional Grid. Such capability boosts further the concept of remote operation, on-line & off-line processing, and builds collaborative and distributed virtual research environments. Building on the foundations of previous European projects, the aim of DORII (Deployment of Remote Instrumentation Infrastructure) [1] is to develop and operate an infrastructure that addresses this issue and supports multiple activities of eScience. We will describe how we have applied the DORII infrastructure on remote operations and on-line & off-line processing in a synchrotron radiation facility.
Key words:
grid computing, grid portals, HPC, middleware, online processing, remote instrumentation
References:
[1] DORII project website, http://www.dorii.org
[2] D. E. McRee, (1993), Practical Protein Crystallography. San Diego.
[3] A. Kak and M. Slaney (1988), Principles of Computerized Tomographic Imaging. IEEE Press.
[4] Ch. Brau, (1990), Free-Electron Lasers. Boston: Academic Press, Inc.
[5] GRIDCC project website, http://www.gridcc.org.
[6] RINGrid project website, http://www.ringrid.eu.
[7] Interactive Europran Grid project website, http://www.i2g.eu/.
[8] g-Eclipse project website, http://www.geclipse.org/.
[9] DORII Project Deliverable DSA1.1, Analysis of Applications and Network Requirements for Remote Instrumentation Infrastructure.
[10] Enabling Grids for E-sciencE, http://www.eu-egee.org.
[11] gLite, http://glite.web.cern.ch/glite.
[12] D. F. McMullen, R. Bramley, K. Chiu, H. Davis, T. Devadithya, J. C. Huffman, K. Huffman and T. Reichherzer, The Common Instrument Middleware Architecture. In: Grid Enabled Remote Instrumentation,. Springer, New York, NY, 2008, pp. 393-407.
[13] F. Lelli, E. Frizziero, M. Gulmini, G. Maron, S. Orlando, A. Petrucci and S. Squizzato, The many faces of the integration of instruments and the grid. International Journal of Web and Grid Services 3 (3), 239-266 (2007).
[14] R. Ranon, L. De Marco, A. Senerchia, S. Gabrielli, L. Chittaro, R. Pugliese, L. Del Cano, F. Asnicar and M. Prica, A Webbased Tool for Collaborative Access to Scientific Instruments in Cyberinfrastructures. Proceedings of INGRID 2007 – Instrumenting the Grid: 2nd International Workshop on Distributed Cooperative Laboratories, Springer, Berlin, 2007, in press
[15] C. Klausecker, T. Köckerbauer, R. Preissl and D. Kranzlmüller, Debugging MPI Programs on the Grid using g-Eclipse. 2nd Parallel Tools Workshop, Stuttgart, Germany, July 7-8, 2008.
[16] M. Prica, R. Pugliese, A. Del Linz and A. Curri, Adapting the Instrument Element to Support a Remote Instrumentation Infrastructure. INGRID 2008 Conference Proceedings (to be published).
[17] Deans, Stanley R. (1983). The Radon Transform and Some of Its Applications. New York: John Wiley & Sons.
[18] J. B. T. M. Roerdink, M. A. Westenberg, Data-parallel tomographic reconstruction: a comparison of filtered backprojection and direct Fourier reconstruction, Parallel Computing 24 (14) 2129-2142 (1998).
[19] J. J. Dongarra, S. W. Otto, M. Snir and D. Walker. A message passing standard for MPP and workstations. Communications of the ACM. 39 (7), 84-90 (1996).
[20] EGEE-II Glossary, http://egee-technical.web.cern.ch/egeetechnical/ documents/glossary.htm
Experimental stations in facilities like Synchrotrons and Free Electron Lasers produce very large data sets. With access to distributed computing paradigms and Grid infrastructures, the data are processed on-line. This requires considerable computing power and storage requirements. Moreover, the constant advances in sensors, detectors, and light source technologies yield frequent upgrades of the instrumentation and proportional increase of the computing requirements. Other than the computing needs, a key-point for successful experiments is the efficient collaboration between the involved scientists and their convenient access to the research facilities. A viable solution is developing suitable infrastructures that allow remote operation of the experimental facilities. We focus on the importance of the transparent integration of instruments in the traditional Grid. Such capability boosts further the concept of remote operation, on-line & off-line processing, and builds collaborative and distributed virtual research environments. Building on the foundations of previous European projects, the aim of DORII (Deployment of Remote Instrumentation Infrastructure) [1] is to develop and operate an infrastructure that addresses this issue and supports multiple activities of eScience. We will describe how we have applied the DORII infrastructure on remote operations and on-line & off-line processing in a synchrotron radiation facility.
Key words:
grid computing, grid portals, HPC, middleware, online processing, remote instrumentation
References:
[1] DORII project website, http://www.dorii.org
[2] D. E. McRee, (1993), Practical Protein Crystallography. San Diego.
[3] A. Kak and M. Slaney (1988), Principles of Computerized Tomographic Imaging. IEEE Press.
[4] Ch. Brau, (1990), Free-Electron Lasers. Boston: Academic Press, Inc.
[5] GRIDCC project website, http://www.gridcc.org.
[6] RINGrid project website, http://www.ringrid.eu.
[7] Interactive Europran Grid project website, http://www.i2g.eu/.
[8] g-Eclipse project website, http://www.geclipse.org/.
[9] DORII Project Deliverable DSA1.1, Analysis of Applications and Network Requirements for Remote Instrumentation Infrastructure.
[10] Enabling Grids for E-sciencE, http://www.eu-egee.org.
[11] gLite, http://glite.web.cern.ch/glite.
[12] D. F. McMullen, R. Bramley, K. Chiu, H. Davis, T. Devadithya, J. C. Huffman, K. Huffman and T. Reichherzer, The Common Instrument Middleware Architecture. In: Grid Enabled Remote Instrumentation,. Springer, New York, NY, 2008, pp. 393-407.
[13] F. Lelli, E. Frizziero, M. Gulmini, G. Maron, S. Orlando, A. Petrucci and S. Squizzato, The many faces of the integration of instruments and the grid. International Journal of Web and Grid Services 3 (3), 239-266 (2007).
[14] R. Ranon, L. De Marco, A. Senerchia, S. Gabrielli, L. Chittaro, R. Pugliese, L. Del Cano, F. Asnicar and M. Prica, A Webbased Tool for Collaborative Access to Scientific Instruments in Cyberinfrastructures. Proceedings of INGRID 2007 – Instrumenting the Grid: 2nd International Workshop on Distributed Cooperative Laboratories, Springer, Berlin, 2007, in press
[15] C. Klausecker, T. Köckerbauer, R. Preissl and D. Kranzlmüller, Debugging MPI Programs on the Grid using g-Eclipse. 2nd Parallel Tools Workshop, Stuttgart, Germany, July 7-8, 2008.
[16] M. Prica, R. Pugliese, A. Del Linz and A. Curri, Adapting the Instrument Element to Support a Remote Instrumentation Infrastructure. INGRID 2008 Conference Proceedings (to be published).
[17] Deans, Stanley R. (1983). The Radon Transform and Some of Its Applications. New York: John Wiley & Sons.
[18] J. B. T. M. Roerdink, M. A. Westenberg, Data-parallel tomographic reconstruction: a comparison of filtered backprojection and direct Fourier reconstruction, Parallel Computing 24 (14) 2129-2142 (1998).
[19] J. J. Dongarra, S. W. Otto, M. Snir and D. Walker. A message passing standard for MPP and workstations. Communications of the ACM. 39 (7), 84-90 (1996).
[20] EGEE-II Glossary, http://egee-technical.web.cern.ch/egeetechnical/ documents/glossary.htm
