Towards a homogeneous architecture for high-energy physics data acquisition systems

Computer Physics Communications

Volumn 153, Issue 2, 2003, Pages 155-163

  Gutleber, Johannes ^a   Murray, Steven ^a   Orsini, Luciano ^a  

^a CERN   (Switzerland)

Author keywords

Data acquisition; Distributed systems; Object oriented systems; Requirements; Software

Indexed keywords

COMPUTER NETWORKS; COMPUTER SOFTWARE; DISTRIBUTED COMPUTER SYSTEMS; HIGH ENERGY PHYSICS;

OBJECT-ORIENTED SYSTEMS;

DATA ACQUISITION;

EID: 0038476074     PISSN: 00104655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4655(03)00161-9     Document Type: Article

References (34)

1. F. Rinaldo, S. Wolbers, Loosely-coupled parallel processing at Fermilab, FERMILAB-PUB-93/006, Fermi National Accelerator Laboratory, Batavia IL, 1993.
2. E. Barsotti, A. Booth, M. Bowden, Effects of various event building techniques of data acquisition system architectures, Fermilab note FERMILAB-CONF-90/61, Batavia IL, 1990.
3. Avoni G., et al. A Beowulf-class computing cluster for the Monte Carlo production of the LHCb experiment. Comput. Phys. Comm. 2002;. (in press).
4. Antchev G., et al. The CMS event builder demonstrator and results with Myrinet. Comput. Phys. Comm. 2001.
5. Gutleber J., Orsini L. Software architecture for processing clusters based on I2O, cluster computing. J. Networks, Software Appl. 5:(1):2002;55-65.
6. Antchev G., et al. The data acquisition system for the CMS experiment at LHC. Proceedings of the 7th International Conference on Advanced Technology and Particle Physics, Villa Olmo, Como, Italy, October 15-19. 2001;World Scientific Publishers.
7. Antchev G., et al. The DAQ-Column prototype of the CMS experiment. Proc. 12th IEEE NPSS Real Time Conference, June 4-8, Valencia, Spain. 2001;191-194 IEEE Press.
8. Gutleber J., et al. Clustered data acquisition for the CMS experiment. Computing in High Energy and Nuclear Physics, Beijing, China, Science Press, September 3-7. 2001;601-605.
9. Antchev G., et al. A software approach for readout and data acquisition in CMS. IEEE Trans. Nucl. Sci. 47:(2):2000;250-255.
10. M.D. McIllroy, Mass-produced software components, in: J.M. Buxton, P. Nauran, B. Randell (Eds.), Software Engineering Concepts and Techniques, Proceedings of the 1968 and 1969 NATO Conferences, Petrocelli/Charter, ACM Press, pp. 88-98.
11. Parnas D.L. Designing software for ease of extension and contraction. IEEE Trans. Software Engrg. SE-5:(2):1979;128-137.
12. Nierstrasz O., Gibbs S., Tsichritzis D. Component-oriented software development. Comm. ACM. 35:(9):1992;160-164.
13. Watson W.A. CODA: A scalable, distributed data acquisition system. Nucl. Sci. IEEE Trans. 41:(1):1994;61-68. see also http://coda.jlab.org.
14. Brun R., Rademakers F. ROOT - an object oriented data analysis framework. Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996. Nucl. Inst. Methods, Phys. Res. A. 389:1997;81-86. see also http://root.cern.ch/.
15. Angarano M.M., et al. Study of radiation damage and substrate resistivity effects from beam test of silicon microstrip detectors using LHC readout electronics. Nucl. Inst. Methods, Phys. Res. A. 488:2002;85-93.
16. Drouhin F., et al. Test of the CMS microstrip silicon tracker readout and control system. Nucl. Inst. Methods, Phys. Res. A. 461:(1-3):2001;470-473.
17. Stefanini A.M., et al. The heavy-ion magnetic spectrometer PRISMA. Nucl. Phys. A. 701 (1-4):2002;217-221.
18. L. Berti, et al., The PRISMA data acquisition system, Report LNL-INFN(REP)-178, 2001.
19. GASP Collaboration Report, INFN/BE-90/11, 1990.
20. Pfister G.F. In Search of Clusters. 2nd edn. 1998;Prentice-Hall. p. 72.
21. Grama A.Y., Gupta A., Kumar V. Isoefficiency: measuring the scalability of parallel algorithms and architectures. IEEE Parallel Distrib. Technol. Syst. Appl. 1:(3):1993;12-21.
22. Coulson G., Blair G. Architectural principles and techniques for distributed multimedia application support in operating systems. ACM SIGOPS Oper. Syst. Rev. 29:(4):1995;17-24.
23. Bernstein P. Middleware: A model for distributed systems services. Comm. ACM. 39:(2):1996;86-98.
24. I2O Special Interest Group, Intelligent I/O (I2O) architecture specification V2.0, 1999.
25. Bershad B.N., et al. Extensibility, safety and performance in the SPIN operating system. Proceedings of the 15th ACM Symposium on Operating system Principles. 1995;267-284.
26. Pardyak P., Bershad B.N. Dynamic binding for an extensible system. Proceedings of the 2nd USENIX Symposium on Operating System Design and Implementation. 1996;201-212.
27. Boyer J. Canonical XML Version 1.0, W3C recommendation, March 15 2001; see also http://www.w3.org/TR/xml-c14n.
28. Box D., et al. Simple Object Access Protocol (SOAP) 1.1 W3C Note 08, May 2000; see also http://www.w3.org/TR/SOAP.
29. Glass G. Web Services: Building Blocks for Distributed Systems. 2002;Prentice-Hall.
30. Le Hors A., et al. Document Object Model (DOM) Level 3 core specification, Version 1.0, W3C Working Draft 13, September 2001; see also http://www.w3.org/TR/2001/WD-DOM-Level-3-Core-20010913.
31. M. Thadani, Khalidi, An efficient zero-copy I/O framework for UNIX, Technical Report, SMLI TR95-39, Sun Microsystems Lab., Inc., May 1995.
32. Network Protocol Toolkit, User's Guide V 5.4, 1st edn., Part # DOC-12820-ZD-03, Wind River Systems, Wind River Way, Alameda, CA, July 7, 1999.
33. Fujimoto R.M., Panesar K.S. Buffer management in shared-memory time warp systems. ACM SIGSIM Simulation Digest. 25:(1):1995;149-156.
34. The XDAQ project Web site at http://cern.ch/xdaq.