Data Acquisition and Management System of LHD

Abstract The data acquisition (DAQ) and management system of the Large Helical Device (LHD), named the LABCOM system, has been in development since 1995. The recently acquired data have grown to 7 gigabytes per shot, 10 times bigger than estimated before the experiment. In 2006 during 1-h pulse experiments, 90 gigabytes of data was acquired, a new world record. This data explosion has been enabled by the massively distributed processing architecture and the newly developed capability of real-time streaming acquisition. The former provides linear expandability since increasing the number of parallel DAQs avoids I/O bottlenecks. The latter improves the unit performance from 0.7 megabytes/s in conventional CAMAC digitizers to nonstop 110 megabytes/s in CompactPCI. The technical goal of this system is to be able to handle one hundred 100 megabytes/s concurrent DAQs even for steady-state plasma diagnostics. This is similar to the data production rate of the next-generation experiments, such as ITER. The LABCOM storage has several hundred terabytes of storage in double-tier structure: The first consists of tens of hard drive arrays, and the second some Blu-ray Disc libraries. Multiplex and redundant storage servers are mandatory for higher availability and throughputs. They together serve sharable volumes on Red Hat GFS2 cluster file systems. The LABCOM system is used not only for LHD but also for the QUEST and GAMMA10 experiments, creating a new Fusion Virtual Laboratory remote participation environment that others can access regardless of their location.

[1]  W. Lourens,et al.  Upgrading a TEXTOR Data Acquisition system for remote participation using Java and Corba , 2000 .

[2]  M. Emoto,et al.  Immediate data access system for LHD experiments , 2004 .

[3]  J. Stillerman,et al.  MDSplus data acquisition system , 1997 .

[4]  M. Ohsuna,et al.  Portability improvement of LABCOM data acquisition system for the next-generation fusion experiments , 2007 .

[5]  Ying Liu,et al.  The EAST distributed data system , 2007 .

[6]  Filippo Sartori,et al.  JET real-time object-oriented code for plasma boundary reconstruction , 2003 .

[7]  Ohsuna Masaki,et al.  Multi-Layer Distributed Storage of LHD Plasma Diagnostic Database , 2006 .

[8]  D. A. Humphreys,et al.  Commissioning and initial operation of KSTAR superconducting tokamak , 2009 .

[9]  Hideya Nakanishi,et al.  Adaptive Data Migration Scheme with Facilitator Database and Multi-Tier Distributed Storage in LHD , 2008 .

[10]  G. Martin,et al.  Overview of steady-state operation on the Tore-Supra tokamak , 2003 .

[11]  D G Mathisen,et al.  CORBA-Based Distributed Software Framework for the NIF Integrated Computer Control System , 2007 .

[12]  H. Nakanishi,et al.  Distributed processing and network of data acquisition and diagnostics control for large helical device (LHD) , 1999 .

[13]  P. Noll,et al.  CODAS the JET Control and Data Acquisition System , 1978, IEEE Transactions on Nuclear Science.

[14]  B. Guillerminet,et al.  Tore supra data acquisition: A system for long duration discharges , 1999 .

[15]  Ohsuna Masaki,et al.  Steady-state data acquisition method for LHD diagnostics , 2003 .

[16]  B. B. McHarg Control, data acquisition, and remote participation for fusion research , 2004 .

[17]  Augusto Pereira,et al.  Applying a message oriented middleware architecture to the TJ-II remote participation system , 2006 .

[18]  Makoto Hasegawa,et al.  Clustered Data Storage for Multi-Site Fusion Experiments , 2010 .

[19]  Masahiko Emoto,et al.  Server for experimental data from LHD , 2006 .

[20]  Umberto Nanni,et al.  Recent developments and object-oriented approach in FTU database , 2001 .

[21]  N. Akasaka,et al.  Plasma real-time control system for advanced tokamak operation scenarios in JT-60 , 1999, 1999 IEEE Conference on Real-Time Computer Applications in Nuclear Particle and Plasma Physics. 11th IEEE NPSS Real Time Conference. Conference Record (Cat. No.99EX295).

[22]  V. Schmidt,et al.  Trends in computing systems for large fusion experiments , 2004 .

[23]  David C. Rine,et al.  Agent Technologies and Web Engineering: Applications and Systems , 2008 .

[24]  H. Nakanishi,et al.  Object-oriented design for LHD data acquisition using client-server model , 1999 .

[25]  Kojima Mamoru,et al.  Design for real-time data acquisition based on streaming technology , 2001 .

[26]  M. Sueoka,et al.  JT-60 Control System , 2002 .

[27]  Masayasu Sato,et al.  Data Processing and Analysis Systems for JT-60U , 2002 .

[28]  M. Ohsuna,et al.  Object-oriented data handling and OODB operation of LHD mass data acquisition system , 2000 .

[29]  K. Saito,et al.  Control, data acquisition and remote participation for steady-state operation in LHD , 2006 .

[30]  Haruhiko Okumura,et al.  Unification of ultra-wideband data acquisition and real-time monitoring in LHD steady-state experiments , 2006 .

[31]  M. Korten,et al.  JDAQ, the new TEXTOR data acquisition program , 2006 .

[32]  B. E. Chapman,et al.  Overview of quasi-single helicity experiments in reversed field pinches , 2003 .

[33]  D. Bora,et al.  Test results on systems developed for the SST-1 tokamak , 2003 .

[34]  C. A. Steed,et al.  CODAS: the JET control and data acquisition system , 1987 .

[35]  Martin Greenwald,et al.  The status of the ITER CODAC conceptual design , 2008 .